‘Don't be scared, you don't have to wear your lifejacket’: using the theory of planned behaviour to understand lifejacket usage in Tuktoyaktuk, Northwest Territories, Canada
Bibliographic record
Abstract
ABSTRACT Water related activities result in a large number of fatalities annually throughout Canada, especially in the Canadian north, where drowning rates are up to ten times the national average. This study used participant observation, semi-structured interviews, and archival research to understand why residents of Tuktoyaktuk, Northwest Territories (NWT) rarely wear lifejackets. Three themes emerged. Firstly residents largely perceive lifejackets to be inaccessible, secondly drownings are attributed to factors other than failing to wear a lifejacket and thirdly lifejacket use is not encouraged by important individuals in the community. It is suggested that successful lifejacket promotion for this population requires drowning prevention programmes that move away from simplistic approaches that encourage people to wear lifejackets and instead must utilise an approach that addresses each component of the theory of planned behaviour (TPB).
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".