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Enregistrement W1736373188 · doi:10.1111/j.1360-0443.2012.03858.x

STANDING STILL OR MOVING FORWARD? A RESPONSE TO THE COMMENTARIES

2012· letter· en· W1736373188 sur OpenAlexaboutno aff
Hilde Pape

Notice bibliographique

RevueAddiction · 2012
Typeletter
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute on Alcohol Abuse and Alcoholism
Mots-clésComparabilityPhenomenonNothingPsychologySocial psychologyNorm (philosophy)Developmental psychologyPolitical scienceEpistemologyLaw

Résumé

récupéré en direct d'OpenAlex

The commentaries on my paper 1 are thought-provoking. Simons-Morton & Kuntsche 2 state that the paper provides new perspectives on an old ‘truth’, while Perkins 3 seems to suggest that it adds nothing at all. Borsari and Carey 4 think that I raise some interesting questions, but reject my conclusion that adolescents' overestimation of peer substance use (SU) has been exaggerated. Conversely, Hannigan & Delaney-Black 5 argue that this conclusion is understated because research on biological markers of SU indicates that young people's reports about their peers' SU are more reliable than their self-reports. Borsari & Carey state that ‘notably absent from this review is the recognition that international studies suggest that the phenomenon of exaggerated substance use norms is highly generalizable’ (p. 886). However, referring to research from 11 different countries, I point out that norm misperception in relation to alcohol use seems to be ‘widespread across nations and drinking cultures’ (p. 878). It may be added that almost all studies in the field are confined to young people, but a Canadian study 6 concluded that adults also overestimate others' drinking. The existence of the phenomenon thus appears to be well documented, but its prevalence and magnitude are probably far smaller than the research literature indicates. To ensure self–other comparability, I suggested that data on own and perceived peer SU could be collected in a real-time group setting using ‘the other survey participants’ as a comparison target. Borsari & Carey's response is that LaBrie et al. 7 have already applied this approach. The study in question evaluated a group-specific normative feedback intervention and data on SU were indeed collected in a group context. However, ‘the typical student’ was the only target, and the respondents' perception of the other group members' SU was thus not assessed. To my knowledge, the suggested group-based data collection strategy has not been employed in any study. Perkins also describes some studies incorrectly. He refers to two studies based on objective measures [i.e. blood alcohol concentration (BAC)] rather than self-reports, and claims that both showed that students typically exaggerate peer drinking. However, one of these studies 8 indicated that the majority (62%) believed that other students had about the same or lower BAC than themselves and that the modal tendency was to hold ‘accurate’ beliefs about the issue. The other study 9 included no measures on the perception of peers' BAC. There are several reasons why the research literature is likely to be biased in favour of demonstrating that youth overestimate peer SU, and many of my arguments are equally relevant with respect to studies on (mis)perceived attitudinal norms. While I focused mainly on methodological issues, Simons-Morton & Kuntsche suggest that publication bias also may have been at work. Indeed, when one considers all the weaknesses that characterize this literature, the paucity of critical voices is remarkable. The assumption that perceived SU norms influence adolescents' drinking and drug use (cf. 2-4) is worth some final comments. Few well-conducted studies have addressed the issue, but due to its longitudinal design, high response rate and the inclusion of several important confounders in the analyses, the study by Juvonen et al. 10 stands out. It revealed that adolescents' perceived SU norms did not predict subsequent drinking and drug use independently. High-quality studies demonstrating the effectiveness of the social norms approach to SU prevention are also lacking 11. Moreover, it should be noted that to the extent that young people exaggerate peer SU, their misbeliefs are mainly about distal social groups 12, 13—which are the least likely to have an influence on behaviour 14. None.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,028
score de la tête « metaresearch » (Gemma)0,163
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,078
Score d'incertitude au seuil0,147

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0280,163
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0030,004
Bibliométrie0,0020,003
Études des sciences et des technologies0,0110,010
Communication savante0,0110,014
Science ouverte0,0100,009
Intégrité de la recherche0,0780,127
Charge utile insuffisante (le modèle a refusé de juger)0,0170,017

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.

Tête enseignante Opus0,038
Tête enseignante GPT0,293
Écart entre enseignants0,256 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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