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Record W2189774596

La interpretación en los servicios públicos en el ámbito sanitario. Estudio comparativo de las ciudades de Barcelona y Montreal

2015· article· es· W2189774596 on OpenAlexaboutno aff
Noelia Burdeus-Domingo

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2015
Typearticle
Languagees
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

El presente trabajo pretende profundizar en la práctica y la profesión de la Interpretación en los servicios públicos (de ahora en adelante, ISP). Se trata de un estudio de caso comparativo de los servicios de ISP en el ámbito sanitario de las ciudades de Barcelona y Montreal (caracterizadas por sus elevados niveles de inmigración y su condición de bilingües). \nEn él se realiza una observación indirecta detallada mediante entrevistas y cuestionarios aplicados a una muestra conformada por profesionales de la salud y los servicios sociales, profesionales de la ISP, gestores de los servicios de ISP y usuarios de dichos servicios. \nEsta investigación describe las soluciones aportadas en ambos contextos al problema que supone la existencia de barreras comunicativas en el acceso a los servicios públicos. Posteriormente, las compara en busca de similitudes y diferencias, destacando en las conclusiones aspectos susceptibles de ser modificados, en pro de una reorientación del perfil profesional que mejor se adecue a las necesidades del ámbito sanitario.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0060.005
Scholarly communication0.0090.002
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.042
GPT teacher head0.348
Teacher spread0.307 · 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 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

Citations8
Published2015
Admission routes1
Has abstractyes

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