Engendering inequities: precariously employed academic women’s experiences of student evaluations of teaching
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
Grounded in intersectional feminist approaches, this study explores the equity impacts of student evaluations of teaching (SETs) on precariously employed women in the academy. Despite their overrepresentation in the academic teaching workforce, precariously employed women are a demographic group that remains underrepresented in research on SETs. Thirty-four qualitative interviews with precariously employed academic women at a university in Ontario, Canada, were conducted to explore their experiences of SETs. The participants critiqued SETs’ role in perpetuating feminized and racialized labour market precarity, and undermining their professional autonomy and professionalization. They also described how SETs subject them to discriminatory evaluations based on their gender, race and age, and the impacts thereof on their workload and mental health. This study’s findings reveal the importance of recognizing SETs’ impact on equity and the need to change teaching evaluation policy in higher education.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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