“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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".