Working with Homeless and Vulnerable People: Basic Skills and Practice
Bibliographic record
Abstract
Working with Homeless and Vulnerable People: Basic Skills and Practice Jeanette Waegemakers Schiff Lyceum Books, Inc., Chicago, IL, 2015 412 pages (softcover), $69.95, 978-1-935871-62-0Reviewed by Kristen A. ProckJeanette W. Schiff wrote Working with Homeless and Vulnerable People: Basic Skills and Practice with the direct service practitioner in mind. She provides introductory information on how to effectively work with families and individuals who are experiencing homelessness or other vulnerabilities such as mental health disorders and addiction that can lead to housing insecurity. Working with Homeless and Vulnerable People: Basic Skills and Practice introduces the interested reader to basic interventions and best practice models for working with these populations, including an introduction to the Housing First model. A unique feature is the exercises at the end of the chapter that assist the reader with developing basic approaches to utilize the aforementioned interventions. The emphasis of this book is on providing experienced social service workers, as well as those just entering the field, with fundamental information that will lead to competent practice.The first five chapters of Working with Homeless and Vulnerable People outline the history and prevalence of homelessness in the United States and Canada, describe basic interventions and skills for working with this population, and provide a brief overview of the case management and housing services that this clientele may need to move beyond homelessness toward stability. The author points out the importance of engagement and building trust as the first steps to forming a working relationship. Individuals who are homeless or experiencing vulnerabilities find it difficult to rely on anyone (p. 27) for assistance. Therefore, it is essential that the social service worker maintain respect for the clients' wishes, be sensitive to their changing needs, and be willing and able to communicate in an open and honest manner.Chapter 6 provides a historical perspective of traditional housing options for homeless and vulnerable populations, as well as a comprehensive description of the Housing First model, a strategy that provides rapid re-housing while building capacity through supportive services and assistance needed to maintain housing. The author posits that, although Housing First is a radical departure from those programs that insisted on treatment compliance, sobriety, and demonstration of housing readiness (p. …
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.012 |
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".