The First Epidemiological Studies in the Transcultural Psychiatry Section at McGill University
Bibliographic record
Abstract
Introduction The Section of Social and Transcultural Psychiatry at McGill University—the first of its kind in the academic landscape—was created in 1955 and was one of the major research teams in the postwar period to produce knowledge at the intersection of cross-cultural psychiatry and epidemiology. In the 1950s and 1960s, before the creation of the Department of Epidemiology at McGill in 1964, the team led by the psychiatrist Eric Wittkower (1899–1983) had already embarked on a series of surveys about major mental disorders like schizophrenia and depression. The early surveys differed from asylum statistics and the global programs developed by the WHO. They were based on local comparative Canadian studies and on a large network of correspondents created by means of the first transcultural psychiatry international newsletter and later journal, Transcultural Research in Mental Health Problems . Thanks to this visibility, the group at McGill played a central role in the organization of panels to present its survey results at the World Congress of Psychiatry in Zurich (1957) and in Montreal (1961). In this chapter, I will explore the types of questionnaires used at McGill in cross-cultural psychiatry. Next, I will turn to the evolution of the surveys after the arrival at McGill of the psychiatrist and epidemiologist Brian Murphy (H.B.M. Murphy, 1915–87) in 1959, and I will focus on the standardization of techniques. Finally, I will describe their use in various cultural environments in Canada, including in Canadian rural communities in the 1960s, partly inspired by the work of Alexander H. Leighton (1908–2007), then at Cornell University, principal investigator of another Canadian epidemiological investigation, the Stirling County Study in Nova Scotia. McGill's approach emphasizes the importance of interdisciplinarity in the early history of psychiatric epidemiology. Furthermore, it illustrates how schizophrenia, perceived at the same time as a universal category and as a category whose prevalence is affected by sociocultural factors, was a boundary object between psychiatrists and social scientists in the postwar years. The Foundation of the McGill University's Transcultural Psychiatry Unit in 1955 In 1955, the first university unit in transcultural psychiatry (today, called the Division of Social and Transcultural Psychiatry) was established by the psychiatrist Eric Wittkower and the anthropologist Jacob Fried. Born in Berlin to a Jewish family and originally trained as a specialist in internal medicine, Wittkower left Germany in 1933 as a consequence of its new Anti-Jewish Laws.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".