Whiteout and the reproduction of (fat) white normativity :a critical discourse analysis of the presence of whiteness in fat studies literature
Bibliographic record
Abstract
This Major Research Paper consists of a critical discourse analysis of the operation of whiteness in the field of fat studies, focusing on how it becomes invisible and consequently manifests in emergent theorizing, especially at its establishment as an academic discipline. Two fat studies readers were selected, one published then and one written more recently, with six chapters selected from each. Using a dialectical-relational approach, these texts were analyzed both individually and intertextually to look at the origin stories of the field, the use of language to obscure whiteness, and the need for critical race/intersectional approaches. Findings show that fat studies has, and predominantly continues to, find itself in a self-imposed state of ‘whiteout’, through which Black, Indigenous, and Racialized people, voices, and experiences are sanitized, marginalized, or erased altogether. To challenge this, fat studies must take up whiteness and white supremacy toward its goal of fat liberation for all.
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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 | 0.017 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.013 | 0.050 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".