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Record W2807611519 · doi:10.1057/s41599-018-0100-1

Beyond ideological platitudes: socialism and psychiatry in Eastern Europe

2018· article· en· W2807611519 on OpenAlexaff
Mat Savelli

Bibliographic record

VenuePalgrave Communications · 2018
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIdeologyCommunismSocialismPoliticsEliteContext (archaeology)SociologyHistoriographyState (computer science)Political economyLawPolitical scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

Abstract For both contemporaneous commentators and historians, psychiatry within what was Communist Europe has largely been discussed through the prism of politics and ideology. Recently, scholars have begun to debate the extent to which psychiatric practices within post-WWII Eastern Europe were beholden to the ideological aspirations of the political elite. This paper enters into these debates by suggesting the need for more nuance in how historians analyse the relationship between ideology and psychiatry in this context. Specifically, it argues that there is a need to differentiate between psychiatric practices that were socialist by design—where professional knowledge was theoretically guided by ideological considerations—and those that were socialist by default—where practices were shaped by the socialist context without being meaningfully inspired by ideology. In order to demonstrate these distinctions, this paper reflects upon psychiatric developments within Communist Yugoslavia (1945–1991). By drawing a clearer distinction between “socialist by design” and “socialism by default”, it becomes easier to reconnect Eastern Europe to the broader historiography of twentieth century psychiatry, while simultaneously providing new insights into the experience of state-sponsored Communism.

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)0.004
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.039
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.002
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 head0.069
GPT teacher head0.389
Teacher spread0.319 · 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 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

Citations12
Published2018
Admission routes1
Has abstractyes

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