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Record W7009248151

DIMENSIONES DE LA PERSONALIDAD Y TIPOS DE ALEXITIMIA EN ADOLESCENTES

2016· dissertation· es· W7009248151 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2016
Typedissertation
Languagees
FieldPsychology
TopicPsychology Research and Bibliometrics
Canadian institutionsnot available
Fundersnot available
KeywordsEysenck Personality QuestionnaireTest (biology)Personality testPsychoticism
DOInot available

Abstract

fetched live from OpenAlex

La presente investigación busca la relación entre las dimensiones de la personalidad\nsegún Eysenck y presencia de alexitimia en adolescentes de Instituciones Educativas\nPrivadas y Públicas de UGEL – SUR Arequipa; con la finalidad de comprobar si existe\nla presencia de alexitimia en adolescentes con dimensión de la personalidad\nintrovertida. Nuestra investigación es de tipo correlacional y de corte transversal.\nPara la evaluación de dicha relación entre alexitimia y personalidad extrovertida e\nintrovertida se usó dos pruebas: el Inventario de Personalidad EPQ - Forma A (Hans J.\nEysenck - Sybul B.G Eysenck) y la Escala de Alexitimia de Toronto TAS 20 (Bagby,\nTaylor y Parker, 1985. Adaptación de Martínez – Sánchez (1996)); a modo de\ncomprobar la comprensión se aplicó una prueba piloto a 17 adolescentes.\nAdicionalmente para el análisis de datos se empleó la hoja de cálculo de Excel 2013 con\nsu complemento analítico y el paquete SPSS v.22.0.\nDe esta manera se pudo concluir que existe una relación inversa significativa entre la\npersonalidad y la alexitimia en adolescentes de UGEL – SUR Arequipa; la personalidad\nintrovertida se relaciona con una alta alexitimia, predomina en varones y mujeres la\npersonalidad extrovertida, y las mujeres tienden a tener mayor alexitimia que los\nvarones.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.022
GPT teacher head0.414
Teacher spread0.393 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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