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Record W7045313903

Alexitimia y dimensiones de apego adulto en estudiantes de posgrado

2017· dissertation· es· W7045313903 on OpenAlexaboutno aff

Bibliographic record

VenueCommunities in DSpace (Pontifical Catholic University of Peru) · 2017
Typedissertation
Languagees
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingTest (biology)AlexithymiaAnxietyScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

La presente investigación tiene como objetivo estudiar la relación entre alexitimia y dimensiones de ansiedad y evitación asociadas al apego en relaciones románticas. Con este fin, se contó con 74 estudiantes de posgrado de una universidad privada de Lima entre 23 y 54 años, con un promedio de edad de 32.5 años. La alexitimia se evaluó mediante una adaptación lingüística a nuestro medio del Toronto Alexithymia Scale (TAS – 20) y las dimensiones asociadas al apego mediante una adaptación colombiana del Experience in Close Relationships - Revised (ECR-R). Se analizaron variables sociodemográficas y datos sobre el tiempo y la satisfacción con la relación de pareja actual o la última que se tuvo. Los resultados mostraron una relación positiva entre alexitimia y las dimensiones de ansiedad y evitación en el apego, así como una relación negativa entre estos constructos con la satisfacción y tiempo en las relaciones de pareja. Finalmente, se encontraron diferencias entre personas con y sin pareja actual, de acuerdo al estado civil y entre estilos de apego adulto seguro e inseguros.

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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.281
Teacher spread0.261 · 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
Published2017
Admission routes1
Has abstractyes

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