MétaCan
Menu
Back to cohort
Record W4210529526 · doi:10.20343/teachlearninqu.10.10

Delving into Institutional Diversity Messaging: A Cross-Institutional Analysis of Student and Faculty Interpretations of Undergraduate Experiences of Equity, Diversity, and Inclusion in University Websites

2022· article· en· W4210529526 on OpenAlexafffundabout
Joanna Rankin, Andrew J. Pearl, Trina Jorre de St Jorre, Moriah McSharry McGrath, Sarah Dyer, Samiah Sheriff, Roberta Armitage, Kerstin Ruediger, Anoushka Jere, Saania Zafar, Shalaine Sedres, Daania Chaudhary

Bibliographic record

VenueTeaching & Learning Inquiry The ISSOTL Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsUniversity of Calgary
FundersUniversity of ExeterDeakin UniversityUniversity of AlabamaUniversity of CalgaryPortland State University
KeywordsOperationalizationInclusion (mineral)Equity (law)Diversity (politics)Higher educationPublic relationsSociologyPolitical scienceLibrary sciencePedagogySocial scienceLaw

Abstract

fetched live from OpenAlex

Recognizing that university statements about equity, diversity, and inclusion are often cosmetic, performative, or at best, aspirational, rather than indicative of on-campus realities, this project analyzes interpretations of student identity and diversity through publicly available materials. The primary purpose of this research was to investigate how university messages about equity, diversity, and inclusion, available through public websites, are interpreted by faculty and students. Using a students-as-partners approach, we identified and analyzed themes based on our own perceptions and understandings of each of five university websites University of Calgary (Canada), University of Alabama (USA), Deakin University (Australia), University of Exeter (UK), and Portland State University (USA). While equity, diversity, and inclusion are signature initiatives at many universities, we found that analyses of their websites suggest that the ways in which those are operationalized differ. The patterns identified suggest that messaging through university websites can promote or detract from equity, diversity, and inclusion in university settings, and we observed differences in the ways in which institutions operationalized and represented initiatives related to equity, diversity, and inclusion. Exploring how these efforts at our five institutions are messaged to and interpreted by students provides a better understanding of the institutional priorities and the assumed values identified by student co-researchers. The use of student co-researchers proved an especially valuable contribution to this analysis to gain perspectives about presentations of student identity and diversity. Using this form of embedded research, we identify the limited presentations of and perceptions around diversity at institutions of higher education cited by student co-researchers.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.006
Scholarly communication0.0090.007
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.104
GPT teacher head0.449
Teacher spread0.346 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueTeaching & Learning Inquiry The ISSOTL JournalSame topicCommunication in Education and HealthcareFrench-language works237,207