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Record W4391927495 · doi:10.1590/ce.v29i0.93583

REPERCUSIONES PSICOSOCIALES DE LA PANDEMIA DE COVID-19 EN LAS MADRES DE NIÑOS CON TRASTORNO DEL ESPECTRO AUTISTA

2024· article· es· W4391927495 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

VenueCogitare Enfermagem · 2024
Typearticle
Languagees
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsImpact
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

RESUMEN Objetivo: comprender las repercusiones psicosociales de la pandemia de COVID-19 en las madres de niños con Trastorno del Espectro Autista. Método: estudio cualitativo, con la participación de 22 madres. Los datos fueron recolectados de mayo a julio de 2022, en el interior de Paraíba, Brasil, mediante una Dinámica de Creatividad y Sensibilidad. El análisis se realizó siguiendo el marco teórico-analítico del análisis del discurso francés. Resultados: el miedo, la ansiedad, la angustia y las preocupaciones ocuparon un lugar central en el movimiento dialógico de las madres. Ante las exigencias y reconfiguraciones de la rutina, las madres sufrieron una sobrecarga física, emocional y psicológica que afectó su vida. La soledad se puede ver en la débil o nula red de apoyo que tuvieron durante la pandemia. Conclusión: el estudio puede contribuir a la reflexión sobre las repercusiones de la pandemia en la vida de las madres de niños con autismo y posibilitar el desarrollo de acciones que prioricen la salud mental que las ayuden a superar momentos de adversidad.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.048
GPT teacher head0.397
Teacher spread0.349 · 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