Quality Care in Residential Care and Treatment Settings in North America: From Complex Research to Four Everyday Principles for Practice
Bibliographic record
Abstract
Quality is a central topic in contemporary discussions about residential care, and specifically about group or congregate care. Such care settings have been contested in recent years specifically resulting from anecdotal evidence that quality is lacking. To this end, the response has focused on the development of quality indicators and standards. In this essay, the author argues that, although such approaches are necessary and have helped to embed evidence-based practices in residential care settings, they are not easily translated into everyday practice. Quality care must mean more than frameworks for care that are governed by professional system designs. Quality care also must include the experiences of young people living life in these settings. To this end, to help with the translation of quality care standards for residential care, the essay presents four core principles that, on the one hand, are familiar and easily translatable for youth workers and social workers in these settings, and on the other hand, honour and are congruent with core elements of almost all evidence-based practice approaches.
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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 | 0.046 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.020 | 0.087 |
| Scholarly communication | 0.024 | 0.020 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.007 | 0.014 |
| 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 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".