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Record W4241829853 · doi:10.47678/cjhe.v49i3.188529

Policy Analysis of Equity, Diversity and Inclusion Strategies in Canadian Universities – How Far Have We Come?

2019· article· en· W4241829853 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Manitoba
FundersUniversity of TorontoCanada Research ChairsUniversity of Manitoba
KeywordsEquity (law)Inclusion (mineral)Diversity (politics)Public relationsPolitical scienceCurriculumPoliticsPublic administrationHigher educationSociologySocial science

Abstract

fetched live from OpenAlex

Institutional efforts to address equity, diversity and inclusion in educational settings have been often met with overwhelmingly critical accounts pointing towards well-intentioned attempts that have reinforced exclusion and inequity. A new wave of recent developments among Canadian research-intensive universities (U15) is providing a slightly different account of universities’ involvement in addressing the needs of equity-seeking students. This paper presents data collected through policy analysis of 50 strategic documents from 15 Canadian universities from 2011-2018. The findings suggest that equity, diversity and inclusion activities have become a policy priority attached to a variety of institutional action plans and performance reports. As a result, there has been an increase in institutional strategic activities including institutional political commitment (e.g. new equity offices, new senior administration positions, mandatory training), student and faculty recruitment with programmatic and research supports (e.g. diversity admission policies, scholarships, access programs, curriculum changes), accompanied by broader efforts to create supportive institutional climates (e.g. student advisors, awards, celebrations). Inconsistencies emerged amongst how equity is defined in policy documents, resulting in either redistributive or inclusive practices in equity, diversity, and inclusion initiatives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.318
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it