MétaCan
Menu
← Back to cohort
Record W4392088887 · doi:10.1017/9781800105430.007

Of Fairies, Robots, Witches, and Zombies: Conceptualizing a History of Cross-Cultural Psychiatric Epidemiology in Nigeria

2022· other· en· W4392088887 on OpenAlexaboutno aff
Matthew M. Heaton

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyPsychiatryPsychologyHistoryCriminologyMedicinePathology

Abstract

fetched live from OpenAlex

Introduction The 1950s and 1960s were a time of significant promise for the development of psychiatric epidemiology around the world. While much of the nascent historiography has focused on the development of methods and projects in Europe and North America, it is also well recognized that the field had global ambitions during those decades. Through a number of international collaborative networks, preliminary efforts were made at developing methods for cross-cultural psychiatric epidemiology in a variety of non-Western contexts. This chapter will examine the historical development of psychiatric epidemiology in Africa, with particular emphasis on Nigeria and its relationship with two different projects: the Cornell-Aro project, which conducted a community study of symptoms of mental disorder in Yorubaland in 1961 to compare results with the famous Stirling County study in Canada, and the World Health Organization's International Pilot Study of Schizophrenia (IPSS), carried out from 1968–69, in which the same region served as a field research center contributing to the establishment of a methodology for the cross-cultural identification of a specific diagnostic entity. This chapter uses these two projects to make three broad arguments for the types of inquiries historians should be making in developing a global history of psychiatric epidemiology. First, this chapter argues that psychiatric epidemiology in Nigeria (and Africa more generally) has a multifarious history that complicates narratives of sources and origins at the same time that it recognizes the complex synergy between the “global” and “local” in the construction and dissemination of scientific knowledge. Second, in making the first argument it becomes clear that such a history must focus on the ways that conceptions of “culture” and cultural content are mobilized in service of the universal aspirations not only of these particular projects, but also psychiatric epidemiology more generally in postcolonial spaces. Third, this chapter demonstrates that a fruitful way to examine the mobilization of culture is through the tools of cross-cultural psychiatric epidemiology itself: namely the surveys and questionnaires that generate data about symptom prevalence and categorization. Neither the Cornell-Aro project nor the International Pilot Study of Schizophrenia were designed to produce definitive epidemiological data about mental illness in specific communities. They were established primarily as experiments in developing methodologies for psychiatric epidemiology that could be standardized and replicated in diverse cultural landscapes.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0130.072
Scholarly communication0.0120.015
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.414
Teacher spread0.331 · 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
GenreEmpirical

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicMental Health Treatment and Access→French-language works237,207→