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
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.024 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".