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Record W1546927770

Ablard, Jonathan: Madness in Buenos Aires: Patients, Psychiatrists and the Argentine State, 1880-1983, Calgary, University of Calgary Press, 2008.

2013· article· en· W1546927770 on OpenAlexaboutno aff
Mariana Katz

Bibliographic record

VenueRey desnudo · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychology Research and Bibliometrics
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)GerontologyHumanitiesMedicineArtPolitical sciencePsychiatryPsychology
DOInot available

Abstract

fetched live from OpenAlex

Jonathan D. Ablard reconstruye la historia de los hospitales psiquiátricos públicos en la Argentina a lo largo de un siglo.Su recorrido se basa en las trayectorias de los hospitales más grandes y con archivos más completos, los actuales Hospital J. T. Borda y Braulio A. Moyano.La obra analiza distintos aspectos del sistema psiquiátrico: las condiciones generales de los hospitales en cada período (cantidad y origen de sus fondos, normativa que rige la actividad), las ideas de los psiquiatras a cargo (importancia de su disciplina para la sociedad, características de las enfermedades mentales, tratamientos propuestos) y la experiencia de los pacientes y sus familias (especialmente sus estrategias para influir en decisiones sobre la internación).

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.347
Threshold uncertainty score0.689

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0130.018
Science and technology studies0.0030.003
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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