Promising practices in reducing tobacco use for Inuit
Bibliographic record
Abstract
Th is project is a short distance education course for at least 25 frontline health workers in all Inuit regions of Canada.It brings participants up-to-date with issues in tobacco reduction, provides them with books, fl ipcharts, training guides and support to undertake activities to tackle smoking in their communities.It informs and inspires them to keep trying to reduce tobacco use in their communities. RationaleAlmost one out of three Inuit deaths are attributable to smoking -the single greatest preventable cause of death, disease and disability for Inuit 1 .In spite of this, tobacco reduction eff orts are often pushed aside by more immediate crises, or they are neglected in favour of new priorities in program funding.Th is project also hopes to help keep tobacco reduction -one of the most serious health concerns for Inuit -on the public health agenda. Co-ordinationTh e project is co-ordinated by Inuit Tuttarvingat of the National Aboriginal Health Organization for the Inuit Tobacco-free Network (ITN) with regular input from an Advisory Group appointed from all Inuit regions in Canada.Health authorities have given their full support to the project.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.004 |
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".