Weight bias and identity characteristics among students at a public university in Southern Brazil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Objective Despite the consequences of weight discrimination for health inequities, its relationship with identity characteristics remains poorly understood. We investigated whether and to what extent discrimination attributed to body weight is linked to sociodemographic and identity factors. Methods This cross-sectional study is based on a representative sample of undergraduate students from the Federal University of Santa Catarina. Information on perceived discrimination was collected using the brief version of the Explicit Discrimination Scale. Socioeconomic and demographic data were also collected. Results: The results showed that 22.8% of the sample reported experiencing discrimination for being “fat or thin” throughout their lives. Perceived weight discrimination was higher among respondents whose household heads had completed up to high school education, and among those who were overweight and rated their health as “poor.” Conclusion Perceived weight discrimination was associated with significant factors linked to the stigmatization and pathologization of body weight. These findings should be considered in more inclusive approaches aimed at counteracting the embodiment of social inequalities.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it