Equity/Equality, Diversity, and Inclusion (EDI) in Universities: The Case of Disabled People
Bibliographic record
Abstract
The origin of equity/equality, diversity, and inclusion (EDI) initiatives at universities are rooted in the 2005 Athena SWAN (Scientific Women’s Academic Network) charter from Advance HE in the UK, which has the purpose of initiating actions that generate gender equality in UK universities. Since then, Advance HE also set up a “race charter” to deal with equality issues that are experienced by ethnic staff and students within higher education. Today “equality, diversity and inclusion” and “equity, diversity and inclusion” (from now on both called EDI) are used as phrases by universities in many countries to highlight ongoing efforts to rectify the problems that are linked to EDI of students, non-academic staff, and academic staff, whereby the focus broadened from gender to include other underrepresented groups, including disabled students, disabled non-academic staff, and disabled academic staff. How EDI efforts are operationalized impacts the success and utility of EDI efforts for disabled students, non-academic staff, and academic staff, and impacts the social situation of disabled people in general. As such, we analysed in a first step using a scoping review approach, how disabled students, non-academic staff, and academic staff are engaged with in the EDI focused academic literature. Little engagement (16 sources, some only abstracts, some abstracts, and full text) with disabled students, non-academic staff, and academic staff was found. This bodes ill for the utility of existing EDI efforts for disabled students, non-academic staff, and academic staff, but also suggests an opening for many fields to critically analyse EDI efforts in relation to disabled students, non-academic staff, and academic staff, the intersectionality of disabled people with other EDI groups and the impact of the EDI efforts on the social situation of disabled people beyond educational settings. The problematic findings are discussed through the lens of ability studies and EDI premises, as evident in EDI policy documents, EDI academic, and non-academic literature covering non-disability groups, and policy documents, such as the 2017 “UNESCO Recommendation on Science and Scientific Researchers” and the 1999 “UNESCO World Conference on Sciences” recommendations that engage with the situation of researchers and research in universities.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.025 | 0.036 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.002 | 0.036 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".