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Record W2279698848 · doi:10.1080/08865710902872960

An Outcomes Perspective of the Role of Residential Treatment in the System of Care

2009· article· en· W2279698848 on OpenAlexaff
John S. Lyons, Heather Woltman, Zoran Martinovich, Brian Hancock

Bibliographic record

VenueResidential Treatment for Children & Youth · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsPerspective (graphical)Residential careVariety (cybernetics)Matching (statistics)PsychologyMedicineGerontology

Abstract

fetched live from OpenAlex

A variety of factors are putting great pressure on residential treatment centers to justify their role in the child serving system through evidence of impact on the lives of children, youth, and families. The present study describes the role of residential treatment from an outcomes perspective in a midsized state over the course of a 5 year period in which efforts were made to reduce out-of-community placements. The process of developing a system of care approach to the child serving system while matching children and youth needs to the use of residential treatment resulted in placing more challenging children and youth in these placements over time. The results of this process included an improvement in within-episode outcomes from residential treatment. A hinge analysis in which children and youth were described using a common assessment before and after placement in a range of treatments/programs helped explicate the role of residential treatment serving the most challenging children and youth successfully. The necessary length of stay for residential treatment from a clinical perspective depends greatly on the continued treatment options post-discharge.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.013
GPT teacher head0.297
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations49
Published2009
Admission routes1
Has abstractyes

Explore more

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