What Do We Know About the Nexus Between Culture, Age, Gender and Health Literacy? Implications for Improving the Health and Well-being of Young Indigenous Males
Bibliographic record
Abstract
Health literacy, although diversely defined, refers to the abilities, relationships and external environments required for people to successfully promote health. Existing research suggests that health literacy is related to health inequities, including individual and community capacity to navigate health. A diverse range of factors shape health literacy abilities and environments, especially culture, gender and age. However, the nexus between these variables and their cumulative impact on health literacy development remains largely unexplored. Commentary that explores these dynamics among young Indigenous males is particularly scant. In turn, strategies to bridge health equity gaps have been obscured. This article brings together disparate research on health literacy, masculinities, youth studies and men’s health in order to address this oversight. By outlining the collective conceptual contribution of these strands of scholarship, we show that young Indigenous males navigate health literacy through a complex cultural interface that balances both Western and Indigenous understandings of health. Alternative masculine identities, which simultaneously embrace and resist components of hegemonic masculinity, also shape this health literacy lens. We explain that the development of health literacy is important for young people, particularly young Indigenous males, and that this is negotiated in tandem with external support structures, including family and friends. By describing these intersections, we explore the implications for researchers, policymakers and practitioners seeking to achieve the dual goal of improving health literacy and reducing health inequities among this highly marginalised population.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| 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".