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Enregistrement W342062379 · doi:10.1177/070674371005501001

Life Course Studies of Psychopathology: Consolidation and Concern

2010· letter· en· W342062379 sur OpenAlexvenueno aff
Michael J. Shanahan

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2010
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRutterLife course approachPsychologyPsychopathologyNormativeMental healthDevelopmental psychopathologyDevelopmental psychologyEmpirical researchPsychoanalysisClinical psychologyPsychotherapistEpistemology

Résumé

récupéré en direct d'OpenAlex

The accompanying In Review papers by Dr Ian Colman and Ms Anushka Ataullahjan' and Dr Joseph Murray and Dr David P Farrington2 represent exemplary applications of the life course perspective to psychopathology. Using their papers as points of departure, I briefly sketch the core insights of this approach and the new challenges that this research poses. Historically, life course studies emerged in response to organismic (or ontogenetic) models according to which behaviour reflects inherent features of a person that unfold with maturation and that are largely invariant among people. According to such models, psychopathology typically represents a departure from normative developmental patterns and interferes with adaptive functioning. Symptoms and diagnoses may or may not be explained by environmental causes (real or imagined) but, in any event, relatively little attention is paid to social experience. Three lines of empirical research challenged these models and would subsequently inform, to varying degrees, an interdisciplinary life course model of mental health. The first such tradition is frequently associated with Glen H Elder Jr (see Elder and Shanahan1) and emphasizes the complexities of timing and the mechanisms by which the same social experiences lead to different behavioural patterns among people. The second tradition is influenced by the work of David Barker4 and focuses on associations between early environmental experiences and later indicators of health and disease. The third tradition originates, in significant ways, from Michael Rutter's5 program of research, with its characteristic interest in pathways and the contingencies by which people end up with different health profiles. Only Rutter is concerned with psychopathology, per se; however, all 3 scholars are engaged, with differing emphases, in a central concern of life course studies: the characterization of environments and their relations with behaviours and well-being during many decades of life. Each line of research began within a disciplinary context - Elder (see Elder and Shanahan3) in sociology. Barker4 in epidemiology, and Rutter5 in psychiatry - although all 3 scholars have been consistently interdisciplinary in their ambitions. Indeed, all 3 lines are now converging on an interdisciplinary life course framework that focuses on health and well-being6^10 and that is capably applied to specific psychopathologies in the accompanying papers.1 2 What are the defining characteristics of this interdisciplinary life course framework? Two themes - the dynamic and systematic nature of social settings - are central emphases and resonate with similar ideas in developmental psychopathology and genetics. First, the dynamic theme gives attention to the temporal patterns of change and continuity in context. Many conceptual distinctions have emerged to describe the temporal properties of environments, including the age at which environmental factors are first experienced, their duration, the spacing of recurring spells, pathways (that is, patterns of movement from one role or position in an organization to another), and sequences (that is, the patterning of different statuses over time).3 Similarly, regarding diagnoses and symptoms, age of onset and duration and patterns of recurrence have long been of interest. Trajectories are often used to describe quantitative change over time or groups of people with qualitatively different patterns of change or stability, typically in behaviour, but also, possibly, in social context.12 As research uncovers the complexities of gene expression, it is increasingly apparent that the genome is dynamic as well.13 While developmental psychopathology has traditionally acknowledged the dynamic nature of mental health, the life course perspective emphasizes change and stability in social settings. Second, a systems view positing that context reflects many environmental candidates and how they are organized in relation to one and other. …

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)0,015
score de la tête « metaresearch » (Gemma)0,037
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: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,080

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,037
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0070,008
Études des sciences et des technologies0,0010,012
Communication savante0,0050,010
Science ouverte0,0030,005
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,055
Tête enseignante GPT0,371
Écart entre enseignants0,316 · 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

Citations2
Publié2010
Routes d'admission1
Résumé présentoui

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Même revueThe Canadian Journal of Psychiatry→Même sujetHealth disparities and outcomes→Travaux en français237 207→