Bibliographic record
Abstract
The Diagnostic and Statistical Manual of Mental Disorders (DSM) offers a biomedical framing of people’s experiences of distress and impairment, and despite decades of criticism, it remains the dominant approach. This dominance is maintained not only by powerful corporate interests such as the pharmaceutical industry, but also through the everyday talk of people as they attempt to make meaning of themselves and their experiences. This paper explores how and why the DSM holds such cultural currency for individual speakers, and unpacks what is being accomplished in their taking up the language of psychiatric diagnosis. In particular, we argue that a biomedical construction of distress offers the lure, or promise, of validating persons’ pain and legitimizing their identities. However, we also argue that the very assumptions of biomedicine ensure that this promise can never entirely be fulfilled and, despite its lure, a biomedical construction of ‘mental illness’ all too frequently fails to protect individuals from delegitimation and stigma.
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.
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 | 0.050 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.008 | 0.071 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.018 |
| Insufficient payload (model declined to judge) | 0.003 | 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".