Random but Controlled Thoughts on Mental Health Epidemiology and Services Research
Notice bibliographique
Résumé
It is indeed humbling to be a recipient of an award carrying the name of Dr Alex Leighton. While undertaking studies in epidemiology many years ago, I was deeply impressed and inspired when studying Dr Leighton's well-known works, and I consider them remarkable accomplishments in research and epidemiology. Professor Leighton (1908-2007) was an American psychiatrist and social anthropologist trained at Princeton, Cambridge, and Johns Hopkins universities who held leadership positions at Cornell and Harvard. He maintained a special relationship with Canada- particularly Atlantic Canada-where he often spent summers during his childhood and adolescence. It was in Nova Scotia where he worked on the groundbreaking Stirling County Study,1,2 a multi-faceted, longitudinal study of mental health and illness in a set of communities and individuals during a continuous period for more than 50 years. Comprising 3 waves of data collection, in 1952, 1970, and 1992, this was a layered study that applied and examined an integrated and holistic theoretical framework. Its design and approach were prescient and visionary. Although rigorous and scientific, the Stirling County Study was also humanistic in its approach. Its findings and discussion presaged conceptualization of the social determinants of health, and viewed mental health through a population health lens.When I first read Dr Leighton's reports of the Stirling County Study as a young psychiatrist, I found them to provide a welcome antidote to the biological reductionism that constricted the field of psychiatry toward the end of the 20th century and beyond. Many years after reading Dr Leighton's works, when my colleagues and I wrote a textbook to introduce students to mental health in Canada,3 we sought to emphasize an interdisciplinary view of mental health, integrating contributions from fields that include neuroscience, sociology, psychology, anthropology, cultural studies, gender studies, criminology, and ethology. This follows closely the interdisciplinary and antireductionist standpoint so well espoused and championed by Dr Leighton.Dr Leighton, together with his wife and research partner, Professor Jane Murphy, a highly accomplished social anthropologist, formed a dynamic team (Figure 1). Among his lengthy list of accomplishments, Dr Leighton was instrumental in establishing the CAPE following his retirement from Harvard University and during his tenure as a distinguished professor at Dalhousie University. Both Dr Leighton and Dr Murphy were regular participants in the annual CAPE scientific meetings up until Dr Leighton's death, and, subsequently, Dr Murphy has continued to attend and is a cherished contributor to those events. First-rate discussions on the contributions of Dr Leighton and Dr Murphy can be found in a chapter written by Dr Cairney and Dr Streiner in the book they edited on the epidemiology of mental disorders in Canada4 and in a tribute paper written by Dr Tremblay,5 who was mentored by Dr Leighton and worked on the Stirling County Study from 1950 to 1956.In reflecting on my own career to date, I am thankful for the inspiring and illuminating work of Dr Leighton and Dr Murphy. As a clinician-scientist who began my career striving to help individuals and families with anorexia nervosa and other eating disorders, I found the holistic vision they articulated to be invaluable when addressing such complex and multi-faceted disorders, which so clearly have prominent social, psychological, cultural, and biological antecedents and consequences. An epidemiologic vantage point was helpful when considering the well-known sex and (or) gender differences in the distribution of eating disorders among the general population. A firm footing in the sophisticated biopsychosocial framework that is so prominent in Dr Leighton and Dr Murphy's work helped to maintain a balanced and nuanced perspective when seeking to understand why girls and women are much more prone to develop eating disorders than are boys and men. …
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 | 0,275 | 0,532 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,023 |
| Communication savante | 0,008 | 0,011 |
| Science ouverte | 0,005 | 0,005 |
| Intégrité de la recherche | 0,007 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,003 |
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 ».