Cross Canada Forum: The national lung health framework: an opportunity for gender analysis
Bibliographic record
Abstract
Smoking related respiratory diseases in Canada represent a huge social and economic burden for both women and men. This article addresses the potential impact of the National Lung Health Framework for reducing disparities between women and men in respiratory health and between sub-populations of women and men. A preliminary analysis of the existing framework documents indicates that sex and gender factors, differences and influences have not yet been clearly or sufficiently identified. Yet, there are sex and gender issues related to tobacco prevention and cessation, lung health and lung disease. In particular, we consider the specific respiratory health needs and experiences of women to demonstrate the need for sex and gender-based analysis within the framework. For example, while there is inconsistent evidence regarding quit rates, women and men have different cessation patterns and reasons for smoking. Although creating a Canada-specific approach to lung health is an important initiative, the sex and gender issues associated with respiratory disease and health need to be explicitly addressed in the planning and development stages of the framework in order to have a beneficial and lasting impact on both women and men.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".