Care Work and Academic Motherhood: Challenges for Research and Tenure in the Canadian University
Bibliographic record
Abstract
In Canada, women are earning an increasing number of doctoral degrees; yet, they are less likely to secure a tenure-track position. A feminist thematic analysis of semi-structured interviews with 20 academic mothers from two Canadian universities reveals the range of challenges that mothers encounter in relation to care on the tenure-track. First, the theme of “fear of post-partum academic erasure” captured faculty mothers’ experiences of feeling compelled to assert their physical and intellectual presence in post-partum during peak periods of infant care. The second theme, “the mommy tenure track and care choices,” encapsulated academic mothers’ experiences of feeling unsupported by the university in their pursuit of promotion and tenure given care responsibilities associated with motherhood. The final theme, “research while caring,” captured the tensions academic mothers experience between the research process and caring. The findings of this research are particularly relevant in a pandemic and post-pandemic environment, where academic mothers have seen their care work swell to unprecedented proportions.
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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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.080 | 0.032 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".