Diagnoses, Relational Processes and Resourceful Dialogs: Tensions for Families and Family Therapy
Bibliographic record
Abstract
The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), given its psychiatric focus on mental disorders in individuals, presents families and family therapists with challenges. Despite considerable controversies over its adoption, the DSM-5 extends a process of standardizing a language for human and relational concerns. No longer a diagnostic language of professionals alone, its use is medicalizing how mental health funders and administrators, as well as clients, respond to human concerns. For family therapists who practice systemically, particularly from poststructuralist and strengths-based orientations, many tensions can follow when use of the DSM-5 is expected by mental health administrators and funders, or by clients who present concerns about themselves or a diagnosed family member. In this paper, I explore how such DSM-5 related tensions might be recognized, navigated, and negotiated in the practice of family therapy with clients, and with administrators and funders.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| 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".