‘I can’t say we focus on the mom’: perceptions of public leisure service providers towards pregnant and postpartum leisure
Bibliographic record
Abstract
While public leisure services are meant to be inclusive and accessible, few researchers have unpacked what public leisure service providers (PLSPs) perceive as socially inclusive leisure services for pregnant or postpartum women. Therefore, we used this study to explore how PLSPs in Montreal, Quebec, Canada, perceived the needs of pregnant and postpartum women when creating public leisure programs and services. We interviewed 14 PLSPs to gather an in-depth understanding of their perceptions. Our findings demonstrated how PLSPs approached community programming for pregnant and postpartum women by prioritizing specific life stages for programming, attempting inclusion through leisure facilities, and listening to select stakeholders and citizens for program feedback. PLSPs perceptions of pregnant and postpartum women led to generalizations about their needs, a lack of inclusive facilities, and impressions influenced by assumptions, instincts, and preconceived notions about citizens absent from public programs.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".