Addictive Behaviours in Young People—An International Comparative Study of the Construction of an Addictive Personality (France, Switzerland, Quebec)
Bibliographic record
Abstract
Addictive behaviours invite us as clinicians and researchers to focus at all times on the subject hidden behind the addictive object, particularly during the process of subjectivation embodied by adolescence. This article is the fruit of international comparative research to explore the prism of personalities of adolescents and young adults with addictions living in France, Switzerland, and Quebec. This study involved 94 participants, aged between 14 and 32. They were divided into a clinical group (54 subjects) and a control group (40 subjects). The methodology consisted of two complementary instruments: the MMPI-A personality test and the CaMIR attachment self-report questionnaire. The results highlighted personality traits common to all three countries: depression, psychopathic deviance, anxiety, social discomfort, social alienation, and physical complaints. They also showed the predominance in all addicts of insecure attachment (detached rather than preoccupied). There were also variations between countries. The Swiss and French young people share a particularly low level of hypomania and a high level of social introversion, whereas the Quebec data showed paranoia as a distinctive trait. The results will be discussed from an institutional perspective in particular, taking into account the treatment practices available to young addicts in the three countries in our study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".