“I think it is a powerful campaign and does a great job of raising awareness in young women”: Findings from Breast Cancer Awareness campaigns targeting young women in Canada
Bibliographic record
Abstract
The purpose of this multi-year study was to replicate a successful breast cancer awareness campaign pilot, targeting young women, and evaluate the campaign effectiveness on multiple Canadian post-secondary school sites. A Canadian charity, Team Shan Breast Cancer Awareness for Young Women (Team Shan), facilitated awareness campaigns on college and university campuses across Western Canada from 2010-2016. Using a pre-post design, young women (17-29 years) on 11 targeted campus sites participated in completing pre- (n = 880) or post-campaign (n = 794) evaluation questionnaires. Questions were designed to evaluate awareness campaign activities, key take home messages, and breast cancer knowledge transfer. Team Shan was successful in developing a variety of strategies to inform young women about their risk of developing breast cancer. The campaigns made a positive impact on young women as an effective public health communication initiative. Findings support health promotion strategies to reach young women, a population at risk of developing breast cancer.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".