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Enregistrement W4401950662 · doi:10.5040/9798216982234

Praeger International Collection on Addictions

2009· book· en· W4401950662 sur OpenAlexaboutno aff

Notice bibliographique

RevueGreenwood Publishing Group Inc. eBooks · 2009
Typebook
Langueen
DomainePsychology
ThématiqueGambling Behavior and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAddictionPolitical sciencePsychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

Only the very rare among us are completely unscathed by the effects of addiction - our own, that of a family member, friend, or coworker. Even the addictions of strangers - from the drunk driver or drug addict, to gambling, food, spending, or violence-addicted people - may subject us to dangers, threaten our well-being, and drain money from our pockets. Recent national estimates in just the US show that substance abuse and addiction alone cost taxpayers a total of nearly $500 billion a year. In these volumes, experts from around the world present the newest issues, research, and insights into addictions of all kinds. Led by Angela Browne-Miller, Director of the Metaxis Compulsive and Habitual Behaviors Institute in California, this team of contributors includes scholars and practitioners from the United States, Canada, the United Kingdom, Sweden, Thailand, Africa, and Russia. Topics range from drug addiction among male, female, teen, and aging populations, and among White, Hispanic, Black, Asian, Native American, and other groups, using liquor, cocaine, methamphetamine, khat, and/or other lesser known drugs, to behavioral addictions including online gaming, excessive buying, and eating disorders. Chapters also address issues including addiction as a public health problem and the politics of drug treatment policies. Treatment methods for addictions, from electrotherapy to holistic approaches are addressed, as are spiritual, psychological, and cross-cultural issues involved. The experts behind these chapters include those from the University of California, Berkeley, Johns Hopkins School of Medicine, and Purdue University, to McGill University, Nottingham Trent University, and the All India Institute of Medical Sciences. Only the very rare among us are completely unscathed by the effects of addiction - our own, that of a family member, friend, or coworker. Even the addictions of strangers - from the drunk driver or drug addict, to gambling, food, spending, or violence-addicted people - may subject us to dangers, threaten our well-being, and drain money from our pockets. Recent national estimates in just the US show that substance abuse and addiction alone cost taxpayers a total of nearly $500 billion a year. In these volumes, experts from around the world present the newest issues, research, and insights into addictions of all kinds. Led by Angela Browne-Miller, Director of the Metaxis Compulsive and Habitual Behaviors Institute in California, this team of contributors includes scholars and practitioners from the United States, Canada, the United Kingdom, Sweden, Thailand, Africa, and Russia. Topics range from drug addiction among male, female, teen, and aging populations, and among White, Hispanic, Black, Asian, Native American, and other groups, using liquor, cocaine, methamphetamine, khat, and/or other lesser known drugs, to behavioral addictions including online gaming, excessive buying, and eating disorders. Chapters also address issues including addiction as a public health problem and the politics of drug treatment policies. Treatment methods for addictions, from electrotherapy to holistic approaches are addressed, as are spiritual, psychological, and cross-cultural issues involved. The experts behind these chapters include those from the University of California, Berkeley, Johns Hopkins School of Medicine, and Purdue University, to McGill University, Nottingham Trent University, and the All India Institute of Medical Sciences. Only the very rare among us are completely unscathed by the effects of addiction - our own, that of a family member, friend, or coworker. Even the addictions of strangers - from the drunk driver or drug addict, to gambling, food, spending, or violence-addicted people - may subject us to dangers, threaten our well-being, and drain money from our pockets. Recent national estimates in just the US show that substance abuse and addiction alone cost taxpayers a total of nearly $500 billion a year. In these volumes, experts from around the world present the newest issues, research, and insights into addictions of all kinds. Led by Angela Browne-Miller, Director of the Metaxis Compulsive and Habitual Behaviors Institute in California, this team of contributors includes scholars and practitioners from the United States, Canada, the United Kingdom, Sweden, Thailand, Africa, and Russia. Topics range from drug addiction among male, female, teen, and aging populations, and among White, Hispanic, Black, Asian, Native American, and other groups, using liquor, cocaine, methamphetamine, khat, and/or other lesser known drugs, to behavioral addictions including online gaming, excessive buying, and eating disorders. Chapters also address issues including addiction as a public health problem and the politics of drug treatment policies. Treatment methods for addictions, from electrotherapy to holistic approaches are addressed, as are spiritual, psychological, and cross-cultural issues involved. The experts behind these chapters include those from the University of California, Berkeley, Johns Hopkins School of Medicine, and Purdue University, to McGill University, Nottingham Trent University, and the All India Institute of Medical Sciences.

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)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,390
Score d'incertitude au seuil0,870

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0080,010
Études des sciences et des technologies0,0020,001
Communication savante0,0050,004
Science ouverte0,0020,004
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,3900,346

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 Opus0,070
Tête enseignante GPT0,330
Écart entre enseignants0,261 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations17
Publié2009
Routes d'admission1
Résumé présentoui

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