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CONTEMPORALIS HOMO SACER: OBSTÁCULOS PARA ACCEDER A LOS SERVICIOS DE SALUD PARA LAS POBLACIONES TRANS

2017· article· es· W2755471332 on OpenAlexaff
Jaime Alonso Caravaca‐Morera, Michael S. Bennington, Charmaine C. Williams, Kinnon R. MacKinnon, Lori E. Ross

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2017
Typearticle
Languagees
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsToronto Public HealthPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

RESUMEN Objetivo: examinar las experiencias vividas por los individuos auto-identificados como trans al accesar a los servicios de salud mental y, en particular, sus percepciones sobre las barreras de acceso. Método: este estudio cualitativo se realizó mediante el análisis interpretativo fenomenológico (IPA) y apoyado en la teoría Tanatopolítica de Giorgio Agamben. Se realizaron 11 entrevistas semiestructuradas entre diciembre de 2009 y enero de 2010. Resultados: en nuestro análisis, identificamos las siguientes principales barreras de acceso al sistema de salud: desempeño de los proveedores de servicios de salud y, la tanatopolítica de la invisibilización. A través de las experiencias analizadas, identificamos la existencia de un despotismo (psiquiátrico) panóptico liderado por instituciones sanitarias, proveedores de atención médica y políticas públicas. La psiquiatrización tanatopolítica y otras estrategias de invisibilización pasiva tienen un impacto acumulativo porque los trans-cuerpos no se cuentan o no se reconocen plenamente como individuos sanos con condiciones de salud específicas. Conclusión: los hallazgos muestran que si bien se han producido algunos avances en la materia, todavía quedan muchos desafíos por superar con relación a las barreras al acceso a los servicios de salud.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0030.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.007

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 head0.531
GPT teacher head0.548
Teacher spread0.017 · 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 designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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