Effect Of Body Image Dissatisfaction And Perceived Media Pressure On Alexithymia
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".