Best Practices in Equity, Diversity and Inclusion in Research
A guide for applicants to New Frontiers in Research Fund competitions
- About this guide
- What is “EDI”?
- Systemic barriers in academia and the research ecosystem
- Addressing equity, diversity and inclusion in applications
- Considering equity, diversity and inclusion perspectives in research design: Feasibility criterion
- Appendix A–Definitions
About this guide
Equity, diversity and inclusion requirements and their related considerations are assessed under two criteria of New Frontiers in Research Fund (NFRF) competitions:
- Equity, Diversity and Inclusion considers the research team and the research environment, including:
- team composition and recruitment processes;
- training and development opportunities; and
- inclusion.
- Feasibility considers the research plan, including:
- Indigenous research, and
- gender-based analysis plus (GBA+).
This guide helps support NFRF applicants and reviewers, and the research community, in achieving greater equity, diversity and inclusion (EDI) in their research.
NFRF applicants must clearly demonstrate their commitment to EDI in their research teams, including among students, postdoctoral fellows, co-principal investigators (co-PIs), and co-applicants and/or collaborators, as applicable.
Applicants must explain what actions they will take to remove barriers to the recruitment and full participation of individuals from all underrepresented groups, including the four designated groups as defined by the Employment Equity Act (women, Indigenous Peoples, members of visible minorities, and persons with disabilities). The term “racialized minorities” is also used throughout this guide.
This guide provides a general overview of systemic barriers that exist in the research ecosystem. The NFRF program welcomes all feedback on how this guide can be improved. Please send your comments to edi-edi@chairs-chaires.gc.ca.
What is “EDI?”
- Equity is defined as the removal of systemic barriers and biases enabling all individuals to have equal opportunity to access and benefit from the program.
- To achieve this, all individuals who participate in the research ecosystem must develop a strong understanding of the systemic barriers faced by individuals from underrepresented groups (e.g., women, persons with disabilities, Indigenous Peoples, racialized minorities, individuals from the LGBTQ2+ community) and put in place impactful measures to address these barriers.
- Diversity is defined as differences in race, colour, place of origin, religion, immigrant and newcomer status, ethnic origin, ability, sex, sexual orientation, gender identity, gender expression and age.
- A diversity of perspectives and lived experiences is fundamental to achieving research and training excellence.
- Inclusion is defined as the practice of ensuring that all individuals are valued and respected for their contributions and are equally supported.
- Ensuring that all team members are integrated and supported is fundamental to achieving research and training excellence.
Commitment to equity, diversity and inclusion
The Canada Research Coordinating Committee (CRCC) and the tri-agency members (Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council and Social Sciences and Humanities Research Council) are committed to excellence in research and research training. Achieving a more equitable, diverse and inclusive Canadian research enterprise is essential to creating the excellent, innovative and impactful research necessary to advance knowledge and understanding, and to respond to local, national and global challenges.
With these goals in mind, the agencies are committed to:
- supporting equitable access to funding opportunities for all researchers and trainees;
- promoting the integration of EDI-related considerations in research design and practices;
- increasing equitable and inclusive participation in the research system, including on research teams; and
- collecting the data and conducting the analyses needed to include EDI considerations in decision-making.
Through these means the agencies will work with those involved in the research system to develop the inclusive culture needed for research excellence and to achieve outcomes that are rigorous, relevant and accessible to diverse populations.
Embedding equity, diversity and inclusion in program design
As part of their commitment, the tri-agency members are integrating EDI considerations into their policies, processes, excellence indicators and evaluation criteria. Since its launch in 2018, NFRF has formally embedded EDI requirements in its program design as a best practice.
The NFRF program’s EDI criterion focuses on the research environment and its impact on the researchers’ experience. It relates to practices that support team members by helping to reduce barriers and recognizing the contributions of all researchers, thereby promoting innovation and excellence.
Two related concepts are assessed separately in the NFRF program. The program expects that the design of all research projects be informed by gender-based analysis plus (GBA+) and by best practices in Indigenous research, as applicable:
- GBA+ is an analytical process used to assess the potential impact that identity factors, such as sex, gender, race, ethnicity, religion, age and mental or physical disability, may have on an individual’s experience. The purpose of GBA+ is to promote rigorous research that is sensitive to identity factors.
- Indigenous research is an approach to enquiry that engages Indigenous persons as investigators or partners to extend knowledge that is significant for Indigenous Peoples and communities. When conducting Indigenous research, researchers must commit to respectful relationships with Indigenous Peoples and communities. Applicants are expected to follow the Indigenous Research Statement of Principles, where appropriate.
Both of these concepts relate to the design of the research project and are assessed under the Feasibility criterion. They are further discussed under “Feasability criterion—Research Design of the research project” below.
Note: See Appendix A at the end of this guide for definitions of gender, gender-based analysis plus (GBA+), intersectionality, sex, microaggression, tokenism and unconscious bias.
Systemic barriers in academia and the research ecosystem
Systemic barriers are defined as policies or practices that result in some individuals from underrepresented groups receiving unequal access to or being excluded from participation in employment, services or programs. These barriers are systemic in nature, meaning they result from institutional-level practices, policies, traditions and/or values that may be “unintended” or “unseen” to those who do not experience them, but that have serious and long-lasting impacts on the lives of those affected (e.g., on their career trajectories and/or mental and physical health).
Systemic barriers within academia and the research ecosystem are well documented in Canada. To address these persistent barriers within Canada’s research ecosystem, individuals at all levels (e.g., students, trainees, faculty, researchers, administrators, research funding agencies, policy-makers) must play a sustained role in identifying and mitigating them. All individuals must recognize that systemic barriers exist, develop a strong understanding of what the barriers and their consequences are, and understand how individuals at all levels of the research ecosystem (including researchers) can play a role in addressing them. For example:
- The 2018 report published by the Canadian Association of University Teachers, Underrepresented and Underpaid: Diversity & Equity Among Canada’s Postsecondary Education Teachers, highlights the persistent lack of diversity in the academic workforce, and wage gaps between men and women, and between white and Indigenous and racialized staff.
- The Equity Myth: Racialization and Indigeneity at Canadian Universities, (2017) by Frances Henry, Enakshi Dua, Carl E. James, Audrey Kobayashi, Peter Li, Howard Ramos and Malinda S. Smith, discusses the barriers in academia faced by racialized and Indigenous faculty, including racism, unconscious or implicit biases such as curriculum vitae (CV) and accent bias, bias in letters of reference, citation and self-promotion, affinity bias and precarious work, white normativity, tokenism, ineffective equity policies, wage gaps and increased workloads (e.g., “the equity tax”).
- The 2012 Council of Canadian Academies report, Strengthening Canada’s Research Capacity: The Gender Dimension, highlights the bias, stereotypes, lack of role models and mentors, and barriers within institutional practices and policies faced by women in research, which prevent their full participation.
- Recent research conducted by Holly Witteman, Michael Hendricks, Sharon Straus and Cara Tannenbaum demonstrates a gender bias in peer review processes, resulting in a 4% lower success rate for women when the focus of the review is on the calibre of the researcher versus the quality of the research being proposed.
Addressing equity, diversity and inclusion in applications
Research team and research environment
To address the EDI selection criteria, applicants are required to consider the type of research environment they will establish, as research leaders who are responsible for leading, training and mentoring their team members, according to:
- A) team composition and recruitment processes;
- B) training and development opportunities; and
- C) inclusion.
For each area, teams must identify a minimum of one concrete practice they will put in place to address one or more systemic barriers. A list of best practices is included further in this section. Applicants are not expected to incorporate all of these in their application, but must select a minimum of one that will be effective in the applicant’s/research team’s specific research context.
Note: It is not enough to say an institution’s policy will be followed or to simply provide a link to a policy. Applicants must clearly demonstrate how EDI best practices will be carefully considered in each of the sub-criteria. Copying and pasting from the guide into the application may result in an application receiving a “fail” for the EDI selection criteria.
It is recommended that applicants create an EDI plan that outlines key EDI objectives and includes action items based on the needs of team members and on known systemic barriers in the research environment. It is important that the EDI plan be based on an understanding of the institution’s and the research team’s environment and specific challenges. Objectives should be SMART (specific, measurable, aligned with the wanted outcome, realistic and timely). Include strategies for monitoring and reporting on progress, and for course correcting if necessary.
About tokenism
Tokenism can be defined as “the practice of doing something (such as hiring a person who belongs to a minority group) only to prevent criticism and give the appearance people are being treated fairly.” It is expected that applicants to the NFRF program will instead present concerted and meaningful actions toward EDI in their applications, and implement these in their research if awarded a grant.
About privacy and confidentiality:
When completing the EDI sections of the NFRF application, applicants must protect the privacy and confidentiality of all team members. How an individual self-identifies (in terms of belonging to one or more underrepresented groups) is considered personal information and should not be disclosed.
- Do not provide information about the composition of the research team in any way (e.g., Dr. X identifies as a member of a visible minority; the team has X women, X men, and X individuals who identify as members of racialized minorities, etc.).
- Instead, give concrete examples of clear and specific initiatives and measures the team has undertaken to realize its EDI goals (see examples in the tables below).
Information that identifies the personal information (self-identity information) of any of the team members may result in the application being withdrawn from the competition.
A) Team composition and recruitment processes
Why is it important?
ResearchFootnote 1 shows that a diversity of perspectives is fundamental to achieving research excellence. Implementing proactive measures to address systemic barriers in recruitment provides a diversity of perspectives in the research team and helps ensure the best candidates are selected and the research is as impactful and innovative as possible.
Expectations
NFRF applicants are expected to consider EDI best practices when planning the research team’s composition. When recruiting and selecting new members, they are expected to encourage a diverse applicant pool and not disadvantage candidates from underrepresented groups, including members of the four designated groups as defined by the Employment Equity Act (women, Indigenous Peoples, persons with disabilities and racialized minorities).
Applicants must identify a minimum of one concrete practice that will be implemented to ensure that EDI is being intentionally and proactively considered in composing the team and recruiting team members. It is not sufficient to say that the team is already complete and/or diverse; applicants must clearly demonstrate that EDI was carefully taken into consideration when the team was created.
Exploration competition: What if my team has already been created?
If your team is complete and you do not foresee recruiting additional members, outline what concrete practices have been implemented and/or will be if you need to replace or add a member, to ensure EDI is considered in the team composition and recruitment process.
Questions and best practices
The following questions are provided as examples only, to help applicants consider what types of best practices could be implemented in a team to address systemic barriers. Applicants do not need to answer each of these questions in their application.
Examples of questions to consider to help understand challenges/opportunities | Examples of best practices to help address the barriers identified | |
---|---|---|
Planning the team composition/communicating the opportunity |
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Recruitment process |
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Resources
- Guidelines and Best Practices for Letter Writers (Limiting Unconscious Bias)
- Guidelines for Assessing the Productivity of Nominees
- Tri-Agency Unconscious bias online training module
- Tri-Agency Self-Identification Form
- Tri-Agency Conflict of Interest and Confidentiality Policy
- Dimensions: Equity, Diversity and Inclusion Canada
- Universities Canada – Equity, Diversity and Inclusion
- Equity, Diversity and Inclusion Glossary of Terms – University of Washington – School of Public Health
- Gaucher, D., Friesen, J., & Kay, A. C. (2011, March 7). Evidence That Gendered Wording in Job Advertisements Exists and Sustains Gender Inequality. Journal of Personality and Social Psychology.
- Frances Trix and Carolyn Pskenka, Wayne State University, 2003: Exploring the color of glass: letters of recommendation for female and male medical faculty
- The Equity Myth: Racialization and Indigeneity at Canadian Universities (PDF, 6.3MB), published in 2017 by Frances Henry, Enakshi Dua, Carl E. James, Audrey Kobayashi, Peter Li, Howard Ramos, and Malinda S. Smith
- Diaz-Garcia, C., Gonzalez-Moreno, A., & Saez-Martinez, F.J. (2013). Gender diversity within R&D teams: Its impact on radicalness of innovation. Innovation: Management, Policy, & Practice, 15(2), 149- 160.
- Woolley, A., Malone, T. & Berinato, (2011). What makes a team smarter? More women. Harvard Business Review, 89 (6), 32-33.
- Hong, L. & Page, S.E., (2004) “Groups of diverse problem solvers can outperform groups of high-ability problem solvers.” PNAS. Vol. 101, No. 46., 1638-1639.
- Leslie S.J, Cimpian A., Meyer M., & Freeland E. (2015). Expectations of brilliance underlie gender distributions across academic disciplines. Science, vol. 347(6219), 262–265. doi:10.1126/science.1261375.
- Nielsen, M. W., (2015). Limits to meritocracy? Gender in academic recruitment and promotion processes. Science and Public Policy, vol. 43 (3). http://spp.oxfordjournals.org/content/early/2015/08/28/scipol.scv052.full.pdf+html
- Hewlett, S. A. (2016). How Diversity Can Drive Innovation. Harvard Business Review.
- Francoeur, C., Labelle, R., & Sinclair-Desgagné, B. (2008). Gender diversity in corporate governance and top management. Journal of Business Ethics, 81(1), 83-95.
B) Training and development opportunities
Why is it important?
Who has access to training and development opportunities (and who doesn’t) can significantly influence an individual’s research career trajectory. Ensuring that such opportunities are equally available to all team members will help address potential inequities and lead to a more inclusive research environment by helping all members realize their full potential. Providing training on the principles, practices and benefits of EDI to all team members will help increase awareness and address systemic barriers, contributing to a more diverse and inclusive research ecosystem.
Expectations
Applicants must describe what best practices will be taken to ensure that training and development opportunities are equitably provided to all members of the team. Team members should also be trained in EDI principles and best practices. Applicants must provide a minimum of one concrete practice that will be employed to ensure that EDI is intentionally and proactively considered in the training and development opportunities within the team.
Questions and best practices
The following questions are provided as examples only, to help applicants consider what types of best practices could be implemented in the team to address systemic barriers. Applicants do not need to answer each of these questions in their application.
Examples of questions to consider to help understand challenges/opportunities | Examples of best practices to help address the barriers identified | |
---|---|---|
Training and development opportunities |
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Mentoring |
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Resources
- Tri-agency “Unconscious bias online training module”
- Status of Women Canada’s online GBA+ module
- Stamm, M., & Buddeberg-Fischer, B. (2011). The impact of mentoring during postgraduate training on doctors’ career success. Medical Education, 45(5), 488-496. doi:10.1111/j.1365-2923.2010.03857.x
- Jeste, D. V., Twamley, E. W., Cardenas, V., Lebowitz, B., & Reynolds, C. F. (2009). A Call for Training the Trainers: Focus on Mentoring to Enhance Diversity in Mental Health Research. American Journal of Public Health, 99(S1). doi:10.2105/ajph.2008.154633
C) Inclusion
Why is it important?
The research team must fully support and integrate all team members so they can reach their full research potential and continue to pursue their career in research. Issues such as microaggressions, biases, inequitable support, lack of recognition, anti-Black racism, lack of understanding of Indigenous communities, etc. can impact a team member’s ability to fully contribute to the work of the team. Inclusion requires consistent effort by all team members so all team members feel supported and integrated; and so diverse lived experiences and research contributions are valued as assets to the team.
Expectations
Applicants must indicate how they will implement best practices toward ensuring all team members, in particular individuals who are from underrepresented groups, are fully integrated and supported in the research team. Applicants must provide a minimum of one concrete practice that will be employed to ensure EDI is intentionally and proactively considered to support the inclusion of all team members.
Questions and best practices
The following questions are provided as examples only, to help applicants consider what types of best practices could be implemented in the team to address systemic barriers. Applicants do not need to answer each of these questions in their application.
Examples of questions to consider to help uncover the systemic barriers | Examples of best practices to help address the barriers identified | |
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Inclusion |
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Considering equity, diversity and inclusion perspectives in research design: Feasibility criterion
Feasibility criterion–Design of the research project
Gender-based analysis plusFootnote 3
GBA+ will be assessed under the Feasibility criterion of the NFRF program. GBA+ is the process by which we ensure sound EDI principles are applied to research design, methods, analysis and interpretation, and/or dissemination of research findings. In the context of research, GBA+ is an analytical process used to systematically examine how differences in identity factors, such as sex, gender, race, ethnicity, religion, age and mental or physical disability, affect the outcomes of research and the impacts of research findings. The purpose is to promote rigorous research that considers identity factors, so the results are impactful and relevant to the diversity of the Canadian population. Applicants must provide a strong rationale if they believe that no aspect of the proposed research’s design, methods, analysis and interpretation, and/or dissemination of findings should take GBA+ into consideration.
Applicants are strongly encouraged to take the Status of Women Canada online GBA+ module, as well as the tri-agency bias in peer review module to better understand these concepts.
Examples of questions to consider:
Why should I consider identity factors in my research design?
A vast number of studies show that consideration of GBA+ in a research project’s design has the potential to make research more ethically sound, more rigorous and more useful.Footnote 4 Extrapolation of research findings that are based on a limited, nondiverse sample when compared to the overall population can lead to inaccuracies and have serious implications for how the research is interpreted and used.
How do I know if sex, gender and/or diversity considerations are relevant factors in my research?
There is an increasing number of cited research examples that would have or have benefited from considering identity factors in the research design and process. A good source for such examples is the Canadian Institutes of Health Research (CIHR) “Impacts of integrating sex and gender in research” and the Stanford University Gendered Innovations project. These materials provide practical examples and methods for sex and gender considerations, in addition to other factors or variables that should be considered, such as biological, sociocultural or psychological aspects of users, communities, customers, experimental subjects or cells. ResearchFootnote 5 has demonstrated how not taking into consideration certain identity factors, such as race or age, can lead to failed research projects.
How do I demonstrate that I have taken identity factors into consideration in my application?
Some questions to consider:
- Are sex (biological) considerations taken into account in the research design, methods, analysis and interpretation, and/or dissemination of research findings? (Y/N)
- Are gender (sociocultural) considerations taken into account in the research design, methods, analysis and interpretation, and/or dissemination of research findings? (Y/N)
- Are race and ethnicity considerations taken into account in the research design, methods, analysis and interpretation, and/or dissemination of research findings? (Y/N)
- If the research is using population/sample data, can that data be disaggregated by identity factors to determine differences between groups? (Y/N)
- Is there diversity in the work consulted and referenced in supporting/secondary research? (Y/N)
- Are other identity factors taken into account in the research design, methods, analysis and interpretation, and/or dissemination of research findings? (Y/N)
- Does the research engage or involve Indigenous Peoples using best practices and established guidelines? (Y/N) For best practices, see Resources below.
- If you answer "Yes" to any of these questions: Describe how identity factors will be considered in your research proposal.
- If you answer "No" for one or more questions: Explain why identity factors are not applicable in your research proposal.
Resources
- CIHR, Institute of Gender and Health Featured Research
- CIHR, How to integrate sex and gender into research
- CIHR, Sex, Gender and Health Research
- Department of Women and Gender Equality, What is Gender-Based Analysis Plus?
- Status of Women Canada, GBA+ module
- NSERC, Guide for Applicants: Considering equity, diversity and inclusion in your application
- Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans
- SSHRC, definition of Indigenous Research
- SSHRC, Indigenous Research Statement of Principles
Indigenous research
Indigenous research is assessed under the Feasibility criterion. Indigenous research is research in any field or discipline that is conducted by, grounded in or engaged with First Nations, Inuit, Métis or other Indigenous nations, communities, societies or individuals, and their wisdom, cultures, experiences or knowledge systems, as expressed in their dynamic forms, past and present. Research by and with Indigenous Peoples and communities emphasizes and values their existing strengths, assets and knowledge systems. All research involving Indigenous Peoples must be undertaken in accordance with the second edition of the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, and, in particular, Chapter 9: Research Involving the First Nations, Inuit and Métis Peoples of Canada. It is fundamental that protocols and Indigenous traditions are respected when conducting research by and with Indigenous Peoples and communities.
Resources
- SSHRC, Indigenous Research
- CIHR, Guidelines for Health Research Involving Aboriginal Peoples
- Chapter 9: Research Involving the First Nations, Inuit and Métis Peoples of Canada
- Final Report of the Truth and Reconciliation Commission of Canada (PDF document, 0.3 Mb)
- National Centre for Truth and Reconciliation
- Universities Canada principles on Indigenous education
- Colleges and Institutes Canada, Indigenous Education Protocol for Colleges and Institutes
- Federation for the Humanities and Social Sciences, Reconciliation
- Assembly of First Nations (n.d.)
- First Nations Information Governance Centre, First Nations principles of OCAP.
Appendix A – Definitions
Gender refers to the socially constructed roles, behaviours, expressions and identities of girls, women, boys, men and people with diverse gender identities. It influences how people perceive themselves and each other, how they act and interact, and the distribution of power and resources in society. Gender is often conceptualized as a binary (girl/woman and boy/man), but there is considerable diversity in how individuals and groups understand, experience and express it, including nongendered, nonbinary and transgendered.
Gender-based analysis plus (GBA+) is an analytical process used to assess the potential impacts of policies, programs, services and other initiatives (such as research design) on diverse groups of women, men and people with diverse gender identities, taking into account multiple identity factors. The "plus" in the name highlights that GBA+ goes beyond gender and includes the examination of a range of intersecting identity factors (such as age, education, sexual orientation, parental status/responsibility, immigration status, Indigenous status, religion, disability, language, race, place of origin, ethnicity, culture and socio-economic status).
Intersectionality is a theoretical framework that was developed by professor Kimberlé Crenshaw in 1989 in a paper for the University of Chicago Legal Forum entitled “Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics” to explain how African-American women face overlapping disadvantages and discrimination related to sexism and racism. This approach or lens is a best practice and assists researchers to better understand and address the multiple barriers and disadvantages that individuals with intersecting social identities, such as race, gender, sexuality and class, face. Using an intersectional approach to develop policies and research projects helps better identify and address systemic barriers.
Microaggression refers to brief and common verbal, behavioural or institutional actions that play into stereotypes or discrimination against a group of people, often from underrepresented groups. First coined by Dr. Chester M. Pierce in his 1970s research with Black Americans, research on microaggressions has since expanded to examine the experiences of Indigenous Peoples, people with disabilities, women, LGBTQ2+ people, and a number of racial, ethnic and religious groups. Taken in isolation, one instance of microaggression can seem like a minor event; however, members of underrepresented groups often experience the same microaggression repeatedly over time, producing adverse emotional, social, psychological and health impacts, which can also affect their level of productivity and sense of inclusion at work. Examples of microaggression include implying a member of an underrepresented group is an “equity hire”; asking where someone is “really from”; downplaying the effects of race, gender, ability, etc. on lived experiences; implying that someone’s reaction is due to sensitivity, not the nature of the situation they are in; etc.
Sex refers to a set of biological attributes in humans and animals. It is primarily associated with physical and physiological features including chromosomes, gene expression, hormone levels and function, and reproductive/sexual anatomy. Sex is usually categorized as female or male, but there is variation in the biological attributes that comprise sex and how those attributes are expressed.
Tokenism can be defined as “the practice of doing something (such as hiring a person who belongs to a minority group) only to prevent criticism and give the appearance people are being treated fairly.”
Unconscious bias is an implicit attitude, stereotype, motivation or assumption that can occur without one’s knowledge, control or intention. Unconscious bias is a result of one’s life experiences and affects all types of people. Everyone carries implicit or unconscious biases. Examples of unconscious bias include gender bias, cultural bias, race/ethnicity bias, age bias, language bias and institutional bias. Decisions made based on unconscious bias can compound over time, to significantly impact the lives and opportunities of others affected by the decisions one makes. The following steps can mitigate against bias:
- Stereotype replacement—think about a stereotype that you hold and consciously replace it with accurate information.
- Positive counterstereotype imaging—picture someone who counters a traditionally stereotyped role.
- Perspective taking—take the perspective of someone in a stereotyped group.
- Individuation—gather specific information about an applicant to prevent group stereotypes from leading to potentially inaccurate assumptions.
Find further strategies in this Unconscious bias training module.
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