Sex and gender considerations in health research: a trainee and allied research personnel perspective
Bibliographic record
Abstract
Abstract The first step in precision health is the incorporation of sex and gender-based considerations and increasingly, a number of national organizations have instituted policies to support and encourage this practice. However, perspectives of trainees and allied research personnel on incorporation of sex and gender into research is lacking. We assessed trainee (undergraduate and graduate students, post-doctoral fellows, clinical trainees) and allied research personnel (study nurses, laboratory managers) perspectives on the barriers to incorporating sex and gender into their own university-based health research and recommendations to improve the process. Two separate focus groups were completed, and a qualitative analysis was employed to derive themes within perceived barriers and solutions. Participants described three overarching themes consistent with barriers including, lack of knowledge and skill, lack of applicability and feasibility, and lack of funding agency and institutional culture. Participants recommended: (1) increasing awareness and skill of incorporation of sex and gender considerations into health research; (2) implementing practical education curricula to facilitate understanding; and (3) fostering greater transparency and accountability by funding organizations and journal editors. Sex and gender considerations in research contribute to precision health, drive innovation and foster breakthroughs in science and medicine.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Metaresearch Domain: Methods · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.099 | 0.065 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".