Relative deprivation and episodes of drunkenness among French and Canadian adolescents
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Studies link socio-economic deprivation to alcohol consumption in adolescents, but the role of relative deprivation has been understudied and may be equally important. This study investigates the association between relative deprivation and episodes of drunkenness among adolescents in France and Canada. DESIGN AND METHODS: We used data from the 2014 Health Behaviours in School-aged Children study collected from 15-year-olds in Canada (n = 4276) and France (n = 1625). Students reported the number of times they had ever been drunk. The degree of relative deprivation was quantified through the student's rank in the deprivation distribution, measured through the Family Affluence Scale, within school and the extent of the inequality. Random intercept logistic regression models were used to examine the association between relative deprivation and drunkenness. RESULTS: Canadian adolescents were more likely to have experienced drunkenness more than once in their lifetime compared with French adolescents (21.6% vs. 16.2%). Adolescents with high relative deprivation were not more likely to report episodes of drunkenness in Canada and were less likely to report episodes of drunkenness in France compared with those with low relative deprivation. DISCUSSION AND CONCLUSIONS: Our findings do not support the hypothesis that adolescents who experienced greater relative deprivation are more likely to report drunkenness. They suggest that policies and interventions on alcohol use should target adolescents across all levels of deprivation in Canada and particularly those that are relatively more affluent in France. The context of countries appears to matter to the socio-economic distribution of drinking behaviour in youth. [Sentenac M, Ehlinger V, Napoletano A, Spilka S, Gariepy G, Godeau E, Elgar FJ. Relative deprivation and episodes of drunkenness among French and Canadian adolescents.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".