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Record W7117658468 · doi:10.7764/rts.103.246-259

Entre pantallas y silencios: la comunicación no verbal y los procesos relacionales en la intervención de grupo virtual en Trabajo Social

2025· article· W7117658468 on OpenAlexaffabout
C. Sibaja Castro, Séphane Grenier, Óscar Labra

Bibliographic record

VenueRevista de Trabajo Social · 2025
Typearticle
Language
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsContext (archaeology)PerceptionSocial vulnerabilityQualitative researchSocial relationship

Abstract

fetched live from OpenAlex

Este estudio explora las dinámicas de la comunicación no verbal en la intervención de grupo en línea en el Trabajo Social, en particular en el contexto posterior a la COVID-19 en Quebec. A través de un análisis cualitativo de las experiencias de trabajadores sociales, el estudio pone de relieve los retos relacionados con la interpretación de los indicios no verbales, como las expresiones faciales y el lenguaje corporal, en un entorno virtual. Los resultados indican que la reducción de estas señales puede afectar a la calidad de la relación terapéutica y a la eficacia de la intervención. El estudio también propone estrategias para mejorar la comunicación no verbal en línea, como el uso de vídeo de alta definición y la formación de los profesionales en la lectura de señales no verbales digitales. Estas conclusiones tienen implicaciones para la práctica del Trabajo Social en línea y subrayan la importancia de desarrollar competencias específicas para mantener una comunicación eficaz en un entorno virtual.

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)0.007
metaresearch head score (Gemma)0.005
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 categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.003
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 head0.015
GPT teacher head0.351
Teacher spread0.336 · 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 routes2
Has abstractyes

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