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Record W2216346713 · doi:10.1177/070674371506000906

Random but Controlled Thoughts on Mental Health Epidemiology and Services Research

2015· article· en· W2216346713 on OpenAlexafffundvenueabout
Elliot M. Goldner

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2015
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsSimon Fraser University
FundersGrand Challenges CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorMental Health Commission
KeywordsMental healthConceptualizationWatsonEpidemiologyPopulationPsychiatric epidemiologyPsychologyCircumstantial evidenceSociologyPsychoanalysisPsychiatryMedicineHistoryDemography

Abstract

fetched live from OpenAlex

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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.275
metaresearch head score (Gemma)0.532
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.275
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2750.532
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.005
Science and technology studies0.0030.023
Scholarly communication0.0080.011
Open science0.0050.005
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0130.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.189
GPT teacher head0.519
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes4
Has abstractyes

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