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Record W3025806440

Effect Of Body Image Dissatisfaction And Perceived Media Pressure On Alexithymia

2020· article· en· W3025806440 on OpenAlexaboutno aff
Divya Arora, Sunita Gupta

Bibliographic record

VenueStudies in Indian Place Names · 2020
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScalePsychologyFeelingSocial psychologyDimension (graph theory)Scale (ratio)Developmental psychologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The study examined the effects of Body image dissatisfaction and perceived media pressure on alexithymia and its dimensions. An incidental sample of 332 female students having the age range of 17-23 years was selected. The tools used for the study included Body Shape Questionnaire(BSQ-34) by Cooper,Taylor, Cooper & Fairburn (1987); Sociocultural Attitudes Towards Appearance Scale-3 (SATAQ-3) by Thompson et al., (2004); Toronto Alexithymia Scale (TAS-20) by Bagby et al., (1994). A 2x2 factorial design was applied for data analysis and the results revealed that body image dissatisfaction had a significant main effect on two dimensions of alexithymia namely difficulty in Identifying feelings (TAS-DIF) and difficulty in Describing feelings (TAS-DDF). Media pressure was found to produce significant main effect on one of the dimensions of alexithymia i.e., difficulty identifying feelings (TAS-DIF). Interaction of both the independent variables was found to be significant only for one dimension of alexithymia i.e., on externally oriented thinking (TAS-EOT).

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.083
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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.

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
Published2020
Admission routes1
Has abstractyes

Explore more

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