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Record W2145058524 · doi:10.2224/sbp.2005.33.1.19

AN INVESTIGATION OF SOCIAL SKILLS AND LONELINESS LEVELS OF UNIVERSITY STUDENTS WITH RESPECT TO THEIR ATTACHMENT STYLES IN A SAMPLE OF TURKISH STUDENTS

2005· article· en· W2145058524 on OpenAlexaff
M. Engin Deniz, Erdal Hamarta, Ramazan Arı

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2005
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsLonelinessPsychologyUCLA Loneliness ScaleTurkishDevelopmental psychologyScale (ratio)Social skillsTest (biology)Attachment theorySocial psychology

Abstract

fetched live from OpenAlex

This study investigated the effects of attachment styles of university students on their social skills and loneliness levels. Their social skill levels, loneliness levels and attachment styles were measured by the Social Skills Inventory, UCLA Loneliness Scale, and Relationships Scale Questionnaire respectively. To analyze data, t-test, correlation analysis, and regression analysis were employed. Emotional expressivity levels, emotional sensitivity levels, social control levels, and total social skill levels of female students were found to be significantly higher than those of male students. However, emotional control levels of male students were significantly higher than those of female students. A significant effect of attachment styles on loneliness and social skills was detected. Social skill levels of students who have secure attachment styles were found to be significantly higher than social skills levels of students who have insecure attachment styles. Average loneliness points of students who do not have a romantic relationship were found to be significantly higher than others. However, the average social skill points of those students were found to be significantly lower than others.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.438
Teacher spread0.387 · 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

Citations119
Published2005
Admission routes1
Has abstractyes

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