A Hard Place to Call Home: A Canadian Perspective on Residential Care and Treatment for Children and Youth
Bibliographic record
Abstract
In this seminal resource, Dr. Kiaras Gharabaghi identifies an underlying absence of unifying theory and practice in Canada’s child and youth residential care and treatment services. By drawing on organizational examples from across Canada, Gharabaghi exposes how the historical dynamics of mediocrity and complacency have led to inadequate standards and practices within the system. More assuredly, this resource exposes readers to alternative ways of re-imagining a system that is designed from a space of care, healing, and growth that promotes autonomy for all young people. This well-timed resource offers the child and youth services community a positive, constructive, and revolutionary framework for residential care and treatment that is fundamentally based on a partnership between caregivers and young people, their families, neighbourhoods, and communities. Dr. Gharabaghi’s sophisticated and provocative analysis of the system’s key issues is an essential resource for students, practitioners, and educators in the field of child and youth care and in the human services more broadly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.060 | 0.026 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.013 |
| 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".