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Record W3022621961 · doi:10.4103/wsp.wsp_1_20

The Global South: An Emergent Epistemology for Social Psychiatry

2020· article· en· W3022621961 on OpenAlexaff
Vincenzo Di Nicola

Bibliographic record

VenueWorld Social Psychiatry · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de MontréalInstitut universitaire en santé mentale de MontréalDouglas Mental Health University Institute
Fundersnot available
KeywordsSocial epistemologySocial psychiatryEpistemologyPsychologyPsychiatryCognitive scienceSociologyPhilosophyMental health

Abstract

fetched live from OpenAlex

This essay introduces the sociopolitical notion of the Global South as a bridge between globalization and the global mental health (GMH) movement that offers an emergent apparatus or conceptual tool for social psychiatry. A brief history of the Global South reveals that it is wider and deeper than economic and geopolitical notions such as the Third World, the developing world, and the nonaligned movement across a broad swathe of history and culture. I then turn to globalization and its critics, examining critiques of economics, human rights, and problems associated with humanitarian services. A feature of GMH, “the health gap,” is contrasted with “the epistemic gap,” a divide between the epistemologies of the North and emergent Southern epistemologies. Three key features of the Global South – conviviality, porosity, and syncretism – are discussed with examples from my practice of social psychiatry with consultations in child psychiatry and family therapy in Haiti and Brazil. Finally, the Global South is affirmed as a conceptual and clinical apparatus for 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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.327
Teacher spread0.286 · 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 teacher head, not a consensus.

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

Citations28
Published2020
Admission routes1
Has abstractyes

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