Looking at Research Through a Different Lens: The Canadian Institute of Gender and Health
Bibliographic record
Abstract
In 2001, a national research institute devoted to the study of inter-relationships among sex, gender, and health was created by the Canadian Institutes of Health Research (CIHR) as the first of its kind in the world. Established with a vision "to transform understanding of the impact of gender and sex on health across the lifespan and ensure its application in health research in Canada," the Institute of Gender and Health (IGH) supports research to address how sex (biological factors) and gender (sociocultural experiences) interact with other factors that influence health to create conditions and problems that are unique, more prevalent, more serious, or different with respect to risk factors or effective interventions for women, men, girls, and boys.
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 | 0.047 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.015 | 0.022 |
| Science and technology studies | 0.033 | 0.119 |
| Scholarly communication | 0.033 | 0.016 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.015 | 0.038 |
| Insufficient payload (model declined to judge) | 0.006 | 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".