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Alexitimia y agresión en adolescentes: sus diferencias de género

2021· article· en· W3160753331 on OpenAlexaboutno aff
Miguel Carrasco Muñoz, Cecilia Martínez-Morales, Paola Pajuelo Garay

Bibliographic record

VenueREVISTA DESAFÍOS · 2021
Typearticle
Languageen
FieldMedicine
TopicMedicine, History, and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Objective. To know the differences in alexithymia and aggression between male and female adolescents in the fourth and fifth year of high school education. Methods. Level of descriptive-comparative research, type of basic research, transversal design. We worked with a sample of 374 high school students, considering the non-probabilistic sampling of census type that selected 173 men and with probabilistic sampling of stratified type were considered 201 women. The Toronto Alexithymia Scale (T.A.S.-20) and the Buss Perry Aggression Questionnaire were used as instruments for data collection. Likewise, the difference in proportions was used for data analysis. Results. When comparing the differences with alexithymia, according to the gender of the students, a P value = 0.530 was obtained, this being greater than 0.05; so the null hypothesis is accepted and it is stated that there are no significant differences in alexithymia between male and female adolescents. On the other hand, when comparing the differences with respect to aggression according to gender, a P value = 0.001 was obtained, this being less than 0.05; therefore, the null hypothesis of equality is rejected and it is affirmed that there are differences in aggression between male and female adolescents. Conclusions. There is a relationship between alexithymia and aggression in male and female adolescents.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.283
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 teacher head, not a consensus.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueREVISTA DESAFÍOSSame topicMedicine, History, and PhilosophyFrench-language works237,207