A Post-Structural Feminist Analysis of Eating Disorders Intervention Research
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
Through an epistemological stance of post-structural feminism, this conceptual paper explores the use of language within eating disorders (ED) intervention articles, and the problematic narratives and power dynamics that are reinforced through this discourse. The paper begins with a vignette coupled with reflexive analysis of the authors’ experiences within a hospital-based ED unit. The authors then engage in a post-structural feminist analysis to discuss how language within ED intervention research relay problematic narratives of: (1) the individual with an ED as passively, not actively, engaged in care; (2) that their experiences can be captured and categorized; and (3) that measurement based scientific knowledge is more valuable than the lived experiences of clients. Overall, the authors argue that these narratives not only shape how social work researchers think of EDs, but also what we think of those with EDs. These themes also signal a larger power dynamic that continuously favours the epistemic value of researchers’ knowledge over that of the client’s, which runs contrary to the guiding principles of client-centered care in social work. To address these critiques, the authors recommend that social work researchers adopt an eco-social phenomenological approach informed by post-structural feminism when conducting ED intervention research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it