The mediating role of alexithymia in prediction of body image concern by ambivalence over emotional expression
Bibliographic record
Abstract
Background: There have been several studies of body image and ambivalence anxiety, but the question is whether natural cognition can mediate body image anxiety based on ambivalence? Aims: The aim of this study was to investigate the mediating role of natural imagination in predicting anxiety based on ambivalence. Method: The study was descriptive-correlational and was performed on 130 students of Payam Noor Najafabad University who were selected by convenience sampling method. The instruments were the Toronto Natural Intelligence Scale (1994), the Ton Littletom Fear Questionnaire, Axm & Perry Questionnaire (2005), and the Ambiguity Questionnaire on King and Ammons Emotion Expressions (1990). The data were analyzed using structural equation method. Results: The indirect path coefficients between the predictor variable (emotional ambiguity) and the criterion variable (tone image anxiety) were mediated by natural unconscious mediation (p<0/05). Conclusions: Natural misconception can play a mediating role in predicting body image anxiety based on emotional ambiguity.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".