Who’s in the Driver Seat?: Raising the Voices of Young Women After Stroke
Bibliographic record
Abstract
Although rates of stroke among young women is on the rise, much of the existing research about stroke is based upon the experiences of men. Consequently, the Canadian Heart and Stroke Foundation is calling for researchers to address the significant gender-gap in stroke research across many topics. Return to driving is a valued goal for people who have experienced stroke, but current research has excluded the voices of women, young women, and young women from racialized communities. The proposed study will interview young women (55 years and younger) about their experiences after stroke related to driving. Specifically, the study will ask young women about their participation in valued activities and roles, related to changes in driving status post-stroke. The interviews will be conducted via online meeting platforms (Zoom or MS Teams) using a semi-structured interview guide. Transcribed interviews will be analyzed using thematic analysis.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".