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Record W4385428493 · doi:10.31362/patd.1321281

Social Media Addiction in Medical Faculty Students; the relationship with dissociation, social anxiety, and alexithymia

2023· article· en· W4385428493 on OpenAlexaboutno aff
Merve Aktaş Terzioğlu, Tuğçe Toker Uğurlu

Bibliographic record

VenuePamukkale Medical Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaMedicineSocial anxietyAddictionAnxietyClinical psychologySocial mediaPsychiatry

Abstract

fetched live from OpenAlex

Objective: The aim of this study was to evaluate social media addiction in medical faculty students and the relationships with dissociation and social anxiety experienced in social media use and the level of alexithymia. Methods: 329 students who agreed to participate in the research completed the following scales; Bergen Social Media Addiction Scale (BSMAS), Toronto Alexithymia Scale (TAS-20), Van Online Dissociative Experiences Scale (VODES), Social Anxiety Scale for Social Media Users (SAS-SMU). Results: The 4 sub-scales of the SAS-SMU, the 3 sub-scales of the TAS, and the VODES were analyzed as independent variables and the BSMAS was evaluated as a dependent variable. According to this, social media addiction was affected by the shared content anxiety and self-assessment anxiety sub-scale points of the SAS-SMU, and by the VODES points. Shared content anxiety was determined to predict social media addiction positively and significantly (β=0.264, t (320) = 3.16, p=0.002). Self-assessment anxiety was determined to predict social media addiction positively and significantly (β=0.169, t (320) = 2.23, p=0.026). Online dissociative experiences was determined to predict social media addiction positively and significantly (β=0.217, t (320) = 4.15, p

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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.381
Teacher spread0.339 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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