Motherhood and competitive coaching: six stories of generational differences in persisting and resisting gender inequities in sport
Bibliographic record
Abstract
In this paper, we examine mothers’ experiences of coaching; specifically investigating the nuances of generational cohorts (i.e. Generation X and Millennials). Using critical feminist narrative inquiry, we conducted interviews with fourteen mother-coaches (apprentice, assistant, or head coaches) within the context of an amateur national, 10-day multi-sport games event in Canada. Participants represented eight different provinces across Canada and 10 different sports. Three themes were constructed that call attention to the Canadian coaching culture: a) creating space in sport’s hetero-patriarchal culture, b) sport policy reproduces gendered coaching discourses, and c) reimagining coaching and the value of communities of practice. The findings draw attention to the importance and variation among generational cohorts and how mother-coaches engage in individual and collective acts of resistance to the everyday inequities. This study highlights the importance of support (e.g. from spouses and other women coaches) while exposing systemic inequities.
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.
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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".