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Record W7057022827

Funcionalidad familiar y alexitimia en estudiantes de secundaria de instituciones educativas estatales de Trujillo

2022· dissertation· es· W7057022827 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2022
Typedissertation
Languagees
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPublic health
DOInot available

Abstract

fetched live from OpenAlex

El presente estudio tuvo como propósito determinar la relación entre la Funcionalidad Familiar y Alexitimia en estudiantes de secundaria de instituciones estatales de Trujillo. La investigación fue no experimental y se consideró el diseño transversal de tipo correlacional; la muestra estuvo conformada por 307 estudiantes varones entre 15 y 18 años de edad de instituciones educativas estatales de Trujillo considerándose el muestreo no probabilístico por conveniencia. Los instrumentos utilizados fueron: “Escala de Cohesión y Adaptabilidad Familiar FACES-IV” de Olson (2006) y la “Escala de Alexitimia de Toronto (TAS 20)” de Bagby, Parker y Taylor (1999). Los resultados evidenciaron una correlación negativa de grado moderado significativa (rho = -0.59, p<.01), demostrándose que presentar mayor Funcionalidad Familiar se mostrará menores niveles de Alexitimia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.271
Teacher spread0.266 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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