MétaCan
Menu
Back to cohort
Record W2891903109 · doi:10.5712/rbmfc13(1)1856

La Medicina Familiar y Comunitaria como fuente de cuidados de Salud Mental

2018· article· es· W2891903109 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Brasileira de Medicina de Família e Comunidade · 2018
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsMonsanto (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En la Séptima Cumbre Iberoamericana de Medicina Familiar, Cali – Colombia 2018, el grupo de trabajo Salud Mental (SM) reflexionó sobre como la Medicina Familiar (MF) puede actuar para apoyar a las personas que enfrentan situaciones de estrés frente a la vida diaria, conflictos (armados/no armados), emergencias y desastres naturales. Estudio descriptivo de corte transversal basado em una encuesta de 42 preguntas a 99 profesionales sanitarios iberoamericanos provenientes de 15 países, 98 médicos y 1 psicólogo, 8% residentes de MF, 85% especialistas en MF, 4% médicos generales, 2% psiquiatras y 1% internista. El 47% de los médicos percibe como buena la capacidade de los médicos de familia en el abordaje de la SM. En cuanto a los problemas de SM observados, 30% indica Trastorno de Ansiedad, 27% depresión, 17% insomnio, 10% alcoholismo, 7% adicción a drogas ilícitas, 5% trastornos alimentarios y 4% trastorno de estrés postraumático. En este contexto se realizaron las recomendaciones para la Carta de Cali que consideran la formación en SM necesaria para los Médicos Familiares, con estrategias de autocuidado costo efectivas, mediante el fortalecimiento del trabajo comunitario. El cuerpo docente de las residencias de MF debe hacerse cargo de acciones tendientes al autocuidado de los alumnos, propendiendo a facilitar el processo de aprendizaje y la preparación para ejercer la profesión en un medio tan complejo como son los centros del primer nivel de atención o en cualquier contexto en el que se trabaje con la estratégia de Atención Primaria 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.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0020.004
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 head0.032
GPT teacher head0.375
Teacher spread0.343 · 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