The Commodification of Body Positivity: Constructing a Neoliberal Fat Citizenship
Bibliographic record
Abstract
From inspirational messages to celebrated pictures of cellulite and belly rolls, body positive content has become increasingly popular on social media platforms, particularly on image-based networking sites. With the rapid growth of communication technology, it is not surprising that social networking sites, such as Instagram, have become one of the most dominant and influential mediates to cultivating awareness, foster community, and advocate for social change. Instagram’s transition to an advertising platform, however, has introduced a consumerist structure to user activity for corporations to better direct advertisements at target audiences. A once social movement advocating for the rejection of thin beauty ideals in favour of a more inclusive and positive conception of body image has felt the impact of commoditization on its message and advocates. Through Foucauldian Discourse Analysis, this research study seeks to analyze the impact of Instagram’s transition to a commercialization platform on the self-representation of body positive advocates to better understand the influence of neoliberal and capitalist structures on social resistance movements and strategies.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.043 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".