Implementation of a peer-mediated health education model in the United Arab Emirates: addressing risky behaviours among expatriate adolescents
Bibliographic record
Abstract
RSUM La consommation de tabac parmi les jeunes est en augmentation aux mirats arabes unis, et le pays se classe au quinzime rang mondial pour la prvalence du diabte de type 2. Les expatris constituent une majorit de la population, ce qui fait d'eux un sous-ensemble important tudier. Notre objectif consistait dterminer si une intervention ducative serait efficace dans ce contexte culturel. Nous avons mis au point deux ateliers de sant organiss par des pairs et portant sur le tabagisme d'une part, et sur la nutrition et l'activit physique d'autre part. Dix-huit classes d'tablissements privs Abou Dhabi se sont vues attribues l'un des deux ateliers thmatiques susmentionns. Des sondages ont t mens avant et aprs les ateliers afin d'valuer l'efficacit de l'intervention. L'atelier sur le tabagisme a conduit une amlioration significative des modifications de comportement (p < 0,05). L'atelier sur la nutrition et l'activit physique a permis une baisse de la satisfaction des participants concernant leurs niveaux personnels d'activit. Cette tude fournit des arguments en faveur de l'adoption d'un modle d'ducation par les pairs comme intervention de lutte contre le tabagisme, mais pas pour les choix lis la nutrition et l'activit physique.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".