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Record W3157128385 · doi:10.33715/inonusaglik.842593

DIGITAL GAME ADDICTİON, SOCIAL ANXIETY AND ALEXITHYMIA IN ADOLESCENTS

2021· article· en· W3157128385 on OpenAlexaboutno aff
Maksude Yıldırım, Öznur Başdaş

Bibliographic record

Venueİnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaAddictionToronto Alexithymia ScalePsychologyAnxietyClinical psychologySocial anxietyDescriptive statisticsPersonalityThe InternetPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

This study was planned as a descriptive study in order to research the digital game addiction, social anxiety, and alexithymia levels of adolescents. This research was conducted with 626 adolescents in the age group of 12-15 years. The data were collected using Descriptive Characteristics Form, DGAS-7 (Digital Game Addiction Scale), SAS-A (Social Anxiety Scale for Adolescents), AQC (Alexithymia Questionnaire for Children). It can be asserted in accordance with the data that digital game addiction level was high in the adolescents who were male, played strategy games, and used internet for more than three hours a day. The adolescents, who were aged between 14-15 years and had high socio-economic level, smartphone, internet in their smartphones, and no health problem, experienced more social anxiety and the adolescents, who had low socio-economic level, a high year-end success score, and health problems, showed more alexithymic personality characteristics.

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 score0.002
Threshold uncertainty score0.005

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.267
Teacher spread0.253 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueİnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu DergisiSame topicImpact of Technology on AdolescentsFrench-language works237,207