Mind the (gender) gap: engaging students as partners to promote gender equity in higher education
Bibliographic record
Abstract
Gender inequity remains a critical issue in higher education. We explored the proposition that engaging students as partners (SaP), an increasingly adopted approach to student engagement, may present one approach to improving gender equity by fostering agency and leadership for women. First, we analyzed the gender distribution of authors of SaP scholarship spanning 202 articles published in six academic journals over the past five years. Women were more likely to author (70%) and lead (76%) SaP publications. Second, we used collaborative autoethnography to explore our experiences as three women SaP practitioners. Affirmative partnerships built our agency to assert our voices and empowered us to advocate for gender equity. These data indicate that SaP may present one approach to promoting gender equity by creating ‘brave spaces’ and ‘sites of resistance’ against gendered norms in academia.
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".