Social work in addiction: opportunities and alliances
Bibliographic record
Abstract
Addiction is a severe social and mental health problem that requires concerted interdisciplinary efforts to address. Social workers routinely encounter addiction in their practice and can play an important role in its prevention, intervention and policies. However, social workers’ competence in working with addiction is currently compromised by inadequate academic training and reliance on a dominant medical and individualistic paradigm that is at odds with the person-environment philosophy of social work. Based on a critical review of the literature, three addiction theories that feature ecological, relational and humanistic-systemic concepts and practice compatible with social work orientation are presented. Existing knowledge gaps in addiction, formation of interdisciplinary allies and action steps are identified for social work to contribute to addiction theory, research and practice more centrally.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".