Bibliographic record
Abstract
In 2005, a 12-week health promotion campaign in Québec utilized a multimedia communications strategy in which a website was used to supply information and to serve as an accompaniment to support individual engagement with the campaign. The "Défi Santé 5/30" or "5/30 Health Challenge" was intended to reinforce behaviours related to healthy eating and the regular practice of physical activity. This communications strategy offered the public the ability to personally engage in a "health challenge" by fixing objectives to attain over the course of the campaign. The campaign's media use and impact are evaluated with the aid of a telephone survey (n = 609), discussion groups with individuals (n = 102) who had been exposed to the campaign, and discussion groups with health professionals (n = 32). The article explores underlying explanations for behavioural changes during the campaign with a focus on the role of the website. Several characteristics can potentially contribute to the development of motivation and fidelity in users: specific objectives of the website; content; architecture and usage techniques; media convergence and contribution of partners; an accompaniment approach that is at once virtual, media-based, interpersonal while also using contributions from health professionals. Non-facilitating factors are also discussed: technical and socio-cultural accessibility; ethics and constraints related to the participation of health professionals. The "Défi Santé 5/30" has demonstrated that a website utilizing virtual, media-based, interpersonal and technical accompaniment can contribute to behavioural change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.708 | 0.472 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".