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Record W7117689056 · doi:10.7764/rts.103.273-290

Factores protectores para la salud mental en pueblos indígenas de Canadá: Una revisión de alcance

2025· article· W7117689056 on OpenAlexaff
Viviana Blanco Castro, Óscar Labra

Bibliographic record

VenueRevista de Trabajo Social · 2025
Typearticle
Language
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsMental healthPersonaOlder peopleEthnography

Abstract

fetched live from OpenAlex

Los pueblos indígenas de Canadá han enfrentado profundas desigualdades estructurales y traumas intergeneracionales que afectan su salud mental. No obstante, sus comunidades demuestran una resiliencia significativa, anclada en saberes ancestrales, relaciones colectivas y formas propias de sanación. Objetivo: Identificar los factores protectores que promueven la salud mental en personas indígenas en Canadá. Métodos: La metodología siguió las directrices del protocolo PRISMA-ScR para revisiones de alcance de la literatura. Se analizaron artículos empíricos publicados entre 2020 y abril de 2025 en inglés, francés y español, extraídos de las bases de datos Web of Science, Scopus, PubMed y Érudit. Catorce estudios fueron incluidos. Resultados: Los hallazgos se agrupan en: (1) factores protectores asociados a la cultura, (2) factores protectores asociados a las relaciones intergeneracionales y comunitarias, (3) factores protectores asociados a la vida espiritual y (4) factores protectores asociados a la conexión con la tierra. Discusión: Estos factores fortalecen la resiliencia y el bienestar frente a los impactos del trauma histórico y las desigualdades estructurales. Conclusión: Se subraya la necesidad de que estos factores sean integrados en las políticas y programas de salud mental dirigidas a los pueblos indígenas, sobre la base de modelos holísticos, inclusivos y culturalmente adaptados a su cultura de manera localizada en cada territorio.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.448
Teacher spread0.404 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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