Review of: "[Commentary] Balancing the bio in a biopsychosocial model of hazardous drinking and alcohol use disorders"
Notice bibliographique
Résumé
Potential competing interests: No potential competing interests to declare.With this comment, the authors (Morris et al.) wish to criticize the very biologically and genetically focused posture taken by the authors of the article Hazardous Drinking and Alcohol Use Disorders (MacKillop et al., 2022) in their discussion of the etiology and treatment of problematic alcohol use and alcohol use disorders.The authors point out that MacKillop et al. place an excessive emphasis, with often little evidence support, on the genetic determinants of these behaviors, while more than justifiably ignoring the weight of environmental factors.If the commented article has a very individual focus, the commentary wishes to widen the perspectives by reintroducing the role of population-level factors, both in the understanding of problematic alcohol use behaviors and associated disorders, and in their treatment.Morris et al. offer arguments as to how a population-based approach would be more effective, pragmatic, and equitable than a purely individual approach as derived from an exclusive consideration of the weight of biogenetic factors.The authors also point out how an overemphasis on the individual, and implying for instance that only a minority are inherently "destined" to develop issues related to their alcohol use, can be problematic, and that this is a position that is often held by the alcohol industry and has the potential to influence policy decisions, with implications for the availability of services for those who may need them.Throughout the text, the authors highlight the importance of thinking carefully about the modeling adopted to reflect these phenomena, as this can lead directly and indirectly to creating and sustaining other issues, such as stigmatization and inability to provide tailored services for the needs of people who present a hazardous alcohol use or an AUD.In the best of all possible worlds, one should probably be able to consider both biomedical and psychosocial sets of factors, which may contribute together to these phenomena, at different levels, moments, effects, etc.This balanced model (i.e., closer to a true biopsychosocial model) is not that developed in the commentary, but I do understand the authors' perspective in favor of psychosocial factors, considering the traditional weight of biogenetic factors in the scientific literature, and our societies.Perhaps this would be a point to develop further?Finally, while this article focuses heavily on the issue of alcohol use and AUD, I think that these questions could be extended to all psychoactive substances, including illegal/illicit ones, where the weight of psychosocial factors is probably even more significant.The perspectives of the authors of this commentary are interesting, and probably should go beyond
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,065 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,007 | 0,003 |
| Intégrité de la recherche | 0,031 | 0,030 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,015 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».