“You're Just Too Much”
Bibliographic record
Abstract
Both higher-weight individuals and sexual and gender minorities report experiences of stigma in healthcare and everyday life. However, little is known about how these stigmas may interact in individuals who identify as both a sexual and/or gender minority and as currently or formerly higher weight. This study reports on the findings of a micro-ethnography, which incorporated two interviews at 2-to-3-month intervals and participant observation, exploring the intersectional experiences of higher-weight sexual and gender minority adults (≥ 18 years of age) (n=12) in a Canadian Atlantic province. Given reported heteronormativity and weight-stigmatizing attitudes within dietetics, findings are highly relevant to dietitians. Participants described weight-centrism, microaggressions, and prejudice in healthcare, revealed a strong relational sense of identity and self, and recognized the need for advocacy. Ultimately, a radical ontological shift in dietetics may be necessary to eliminate the sense of exclusion that diverse, higher-weight individuals experience in healthcare settings.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".