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Promoción del bienestar emocional y la resiliencia

2024· article· es· W4404276792 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReincisol · 2024
Typearticle
Languagees
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Esta investigación analiza estrategias efectivas con el fin de mejorar el bienestar emocional y la resiliencia a través de un enfoque cualitativo y un diseño bibliográfico que revisa diez estudios previos relacionados con el tema. Los estudios abarcan iniciativas como centros de salud mental en Guelph, programas de educación emocional en Auckland y prácticas culturales en comunidades indígenas en Australia, revelando mejoras significativas en la salud mental y la cohesión social. Se observaron reducciones en síntomas de depresión y ansiedad, así como aumentos en la satisfacción laboral y la conexión comunitaria. La discusión enfatiza la importancia de adaptar las intervenciones a las necesidades locales y culturales, destacando que un enfoque colaborativo puede generar un impacto positivo duradero en la resiliencia de las comunidades. Las conclusiones confirman que integrar diferentes enfoques y contextos es crucial para el éxito de las iniciativas de bienestar emocional, sugiriendo que futuras investigaciones deben explorar nuevas intervenciones y considerar cómo estas estrategias pueden ser implementadas en otros contextos.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.009

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 head0.019
GPT teacher head0.398
Teacher spread0.379 · 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