Advancing disability equity in academic workplaces: a professional development seminar case study
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
Although about a quarter of working age adults in the United States identify as disabled, representative numbers are not found in most workplaces, including academic and scientific workplaces. In higher education, disability-focused policies, programming, professional development, as well as research, have been predominantly oriented toward disabled learners. This by-default attention to the needs of disabled students implicitly signals that disabled faculty and staff are not expected to be present, and/or are not welcomed and valued employees. In this evaluative case study, we detailed a year-long professional development seminar investigating experiences of academic faculty who identify as disabled and reviewed findings from a post-seminar survey. Taken together, the quantitative and qualitative survey data indicated that participants in the seminar series made meaningful gains in four fundamental aspects of allyship focused on disability (in)equities in academic workplaces: increased general topical knowledge of disability stereotyping and discrimination, improved understanding of discriminatory impacts of ableism, enhanced skills for interrupting disability discrimination and inequities, and amplified personal commitment and motivation for addressing disability equity in the workplace.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it