Engaging youth in e-health promotion: lessons learned from a decade of TeenNet research.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since 1995, TeenNet Research (www.teennet.ca) has been a leader in developing strategies for involving youth and adults in co-creating e-health-promotion Web sites and behavior-change programs. In this article we review TeenNet's experience and lessons learned from more than a decade of action research with youth, with an emphasis on the guiding frameworks for participatory action research and Web-site creation and evaluation. The models are applied to the Smoking Zine (www.smokingzine.org), a 5-stage Web-assisted tobacco intervention, which is profiled with regards to its development, evaluation, and dissemination, including results from a school-based randomized, controlled trial. The prospects for using information technology to engage youth in health promotion are discussed in relation to TeenNet's past work and future interests in new Web 2.0 technologies.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it