Book Review of “Addiction Counseling Today: Substance and Addictive Behaviors”
Bibliographic record
Abstract
The issue of addictions and treatment has been increasingly prioritized by policy-makers in recent years, yet the meaning of the concept remains ambiguous. Throughout the 22 chapters of his book Addiction Counseling Today, Kevin G. Alderson weaves together the most salient theories, research, and therapies from the field of addiction and from contemporary developments in policy and practice. The book examines what the tenets of recovery and treatment mean in terms of not only the professional involved in providing treatment but also what recovery looks like for each client. Chapters cover the influence of ethics in treatment, theories of addiction, the neurosciences, and the recognition of behavioural addictions, including the controversies attached to the use of particular labels. A notable strength involves the author’s inclusion of the lived experiences of those who have dealt with various addictions. This book will be essential reading for practitioners, researchers, policy-makers, and students in the fields of addiction, social care, psychology, and criminal justice.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.043 | 0.017 |
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".