Polish adaptation and validation of the Anti-Fat Attitudes Scale – AFAS
Bibliographic record
Abstract
Background: Bias, stigma, and discrimination in relation to weight are frequently experienced by many obese people. The goal of the present study was to develop a Polish adaptation of the Anti-Fat Attitudes Scale (AFAS) proposed by Morrison and O'Connor. Materials/methods: The study was conducted on undergraduate students of the University of Warmia and Mazury in Olsztyn. The original Canadian Scale Anti-Fat Attitudes Scale was translated into Polish, and its factor structure, reliability and construct validity were determined. Results: The exploratory factor analysis (Study 1) supported the development of the Polish version of the Anti-Fat Attitudes Scale with a one-dimensional structure modeled on the original version of the scale (factor loading ranged from .71 to .85). The confirmatory factor analysis (Study 2) validated the one-factor structure of the tool with high values of GFI and AGFI (above .95) and an acceptable value of RMSEA (RMSEA =.07). The results of the analysis revealed that satisfactory stability was maintained over a 4-week period. The validity criterion was confirmed based on correlations with the constructs that were theoretically linked to this phenomenon. Conclusions: The Polish version of the AFAS can be used to measure negative attitudes toward overweight individuals.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".