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Record W4399798772 · doi:10.1093/shm/hkac067

The Afterlives of Mental Hygiene: Psychiatrizing Society in Socialist Yugoslavia

2024· article· en· W4399798772 on OpenAlexaff
Mat Savelli

Bibliographic record

VenueSocial History of Medicine · 2024
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHygieneMental hygienePolitical scienceEnvironmental healthMedicinePsychologyMental healthPsychiatryPathology

Abstract

fetched live from OpenAlex

Summary This article explores the ‘afterlives’ of the mental hygiene movement in Yugoslavia, by considering two periods of time (the immediate post-WWII period and the early 1960s onwards). Despite the favourable ideological conditions, during which authorities sought to refashion healthcare in the direction of social prophylaxis in order to build socialism, practitioners in the immediate post-war era did not embrace socially focussed psychiatry, instead retreating to focus on the clinic and the brain. From the early 1960s, however, many Yugoslav clinicians embraced the social psychiatry movement. In their work, they articulated the notion that improving the mental health of individuals could benefit society, and that refashioning society could equally prevent mental illness. This ‘second afterlife’ of mental hygiene thus proved much more successful than the first. Yet rather than seeing their discipline as a tool to support the state and its aims, social psychiatrists critiqued the conditions of life within socialist Yugoslavia.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.019
Scholarly communication0.0030.001
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.359
Teacher spread0.326 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes1
Has abstractyes

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