Gender-transformative health promotion for women: a framework for action
Bibliographic record
Abstract
Gender inequity is a pervasive global challenge to health equity. Health promotion, as a field, has paid only limited attention to gender inequity to date, but could be an active agent of change if gender equity became an explicit goal of health promotion research, policy and programmes. As an aspect of gendered health systems, health promotion interventions may maintain, exacerbate or reduce gender-related health inequities, depending upon the degree and quality of gender-responsiveness within the programme or policy. This article introduces a framework for gender-transformative health promotion that builds on understanding gender as a determinant of health and outlines a continuum of actions to address gender and health. Gender-transformative health promotion interventions could play a significant role in improving the lives of millions of girls and women worldwide. Gender-related principles of action are identified that extend the core principles of health promotion but reflect the significance of attending to gender in the development and use of evidence, engagement of stakeholders and selection of interventions. We illustrate the framework with examples from a range of women's health promotion activities, including cardiovascular disease prevention, tobacco control, and alcohol use. The literature suggests that gender-responsiveness will enhance the acceptance, relevance and effectiveness of health promotion interventions. By moving beyond responsiveness to transformation, gender-transformative health promotion could enhance both health and social outcomes for large numbers of women and 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 | 0.063 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.015 | 0.087 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".