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Record W2987053917 · doi:10.4103/wsp.wsp_11_19

“A person is a person through other persons”: A social psychiatry manifesto for the 21<sup>st</sup>century

2019· article· en· W2987053917 on OpenAlexaff
Vincenzo Di Nicola

Bibliographic record

VenueWorld Social Psychiatry · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsManifestoSocial psychiatryMental healthSocial philosophyAction (physics)PsychiatrySociologyPsychologySocial relationSocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

A critical issue for our field is how to define contemporary social psychiatry for our times. In this article, I address this definitional task by breaking it down into three major questions for social psychiatry and conclude with a call for action, a manifesto for the 21st century social psychiatry: (1) What is social about psychiatry? I address definitional problems that arise, such as binary thinking, and the need for a common language. (2) What are the theory and practice of social psychiatry? Issues include social psychiatry's core principles, values, and operational criteria; the social determinants of health and the Global Mental Health (GMH) Movement; and the need for translational research. This part of the review establishes the minimal criteria for a coherent theory of social psychiatry and the view of persons that emerges from such a theory, the social self. (3) Why the time has come for a manifesto for social psychiatry. I outline the parameters for a theory of social psychiatry, based on both the social self and the social determinants of health, to offer an inclusive social definition of health, concluding with a call for action, a manifesto for the 21st century social psychiatry.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.047
GPT teacher head0.296
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations16
Published2019
Admission routes1
Has abstractyes

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