Sociotropy-Dependency and Autonomy as Predictors of Eating Disturbance Among Canadian Female College Students
Bibliographic record
Abstract
The authors (a) tested the generalizability of A. Sugarman, D. Quinlan, and L. Devenis's (1982) psychodynamic account of eating disturbances, which posits that overt autonomy strivings associated with eating problems are a defense against unconscious dependency concerns, and (b) evaluated the degree to which autonomy and sociotropy had unique associations with eating disturbances. Canadian female college students (N= 286) completed self-report measures of autonomy, sociotropy, depression, and bulimia as well as the Rorschach Inkblot Test. Findings suggest, contrary to Sugarman and colleagues' psychodynamic account, that experiences of dependency related to self-reported eating pathology do not necessarily lie outside of conscious awareness. Moreover, reported bulimic symptoms were uniquely associated with sociotropy but not autonomy-self-criticism among the participants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".