Challenging the Constraints of Neoliberalism and Biomedicalism: Repositioning Social Work in Mental Health
Bibliographic record
Abstract
This article explores the impact of neoliberalism and biomedicalism on social work mental health care practice through presenting the results of a Canadian provincial study which illustrates the experiences of social work service users, providers, and supervisors. While Canada has a universal health care program, the intensification of the free-market approach is evident in the shifts from public sector support to growing rationalization and marked cutbacks to the provision of social welfare services. The specific impact of neoliberal economic restraint on social justice in mental health services has pressured practitioners to adopt medicalized, short-term strategies, under efficiency-based models. The participants in this study reported significant co-occurring concerns with the state of mental health service delivery, and results suggest social work is increasingly co-opted by the conservative individualizing, pathologizing, and contextualizing dominant biomedical framework in the provision of mental health social services and lack of professional practice autonomy.
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How this classification was reachedexpand
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 | 0.045 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".