The critical reception of the <i>DSM-5</i>: Towards a typology of audiences
Bibliographic record
Abstract
Since its initial publication, the Diagnostic and Statistical Manual of Mental Disorders has been the object of criticism which has led to regular revisions by the American Psychiatric Association. This article analyses the debates that surrounded the publication of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Building on the concepts of public arenas and reception theory, it explores the meaning encoded in the manual by audiences. Our results, which draw from a thematic analysis of traditional and digital media sources, identify eight audiences that react to the American Psychiatric Association’s narrative of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.): conformist, reformist, humanist, culturalist, naturalist, conflictual, constructivist and utilitarian. While some of their claims present argumentative polarities, others overlap, thus challenging the idea, often presented in academic publications, of a fixed debate. In order to further discuss on the Diagnostic and Statistical Manual of Mental Disorders, we draw attention to claims that ‘travel’ across different communities of audiences.
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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 | 0.035 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.017 | 0.052 |
| Scholarly communication | 0.023 | 0.022 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".