It Is Time to Address Ableism in Academia: A Systematic Review of the Experiences and Impact of Ableism among Faculty and Staff
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.
Bibliographic record
Abstract
Faculty and staff with disabilities are significantly underrepresented within academia and experience alarming rates of discrimination, social exclusion and marginalization. This review aimed to understand the experiences and impact of disability discrimination (ableism) among faculty and staff. We conducted a systematic review while searching six international databases that identified 33 studies meeting our inclusion criteria. Of the 33 studies that were included in our review, they involved 1996 participants across six countries, over a 25-year period. The studies highlighted faculty and staff experiences of ableism in academia, which focused on disclosure (i.e., choosing to disclose or not), accommodations (i.e., lack of workplace accommodations and the difficult process for obtaining them) and negative attitudes (i.e., stigma, ableism and exclusion). Twenty-one studies explained the impact of ableism in academia, including a negative effect on physical and mental health, and career development. Coping mechanisms and strategies to address ableism in academia were also described. There is a critical need for more research and attention to the lived experiences of ableism among faculty and staff in academia and the impact that ableism has on their health and well-being.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it