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Record W1973494508 · doi:10.1080/08865711003738522

Unlocking the Doors: How Fundamental Changes in Residential Care Can Improve the Ways We Help Children and Families

2010· article· en· W1973494508 on OpenAlexaff
Sarah Chance, Daren Dickson, Patricia Marrone Bennett, Susan Stone

Bibliographic record

VenueResidential Treatment for Children & Youth · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsDoorsService (business)Service delivery frameworkOrganizational changeService systemBusinessProcess (computing)PsychologyProcess managementPublic relationsNursingPolitical scienceMarketingMedicineEngineeringComputer science

Abstract

fetched live from OpenAlex

This article describes the organizational change effort that took place in a residential treatment facility for teenagers with serious emotional and behavioral challenges. The new service-delivery model is based on a nationwide effort to transform residentially-based services, which includes (1) short-term, intensive residential treatment with parallel community-based services to promote the youth's fastest possible return to a less restrictive setting, as well as to help parents or other primary caregivers to maintain or develop a connection with the child and prepare for the child's return; (2) aftercare services to support the stability of the child and family following reunification or transition to family-based care; (3) improvements in the service delivery decision-making pathway; and (4) better integration of residentially based services within a county's continuum of care. This new model requires programmatic changes, as well as an organizational systems and culture change, for agencies providing services to youth and families. The article documents the stages of preparing for change, the processes used to implement change and the organizational conditions that supported the change process, along with initial outcomes for the clients and their families, one year later.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.260
Teacher spread0.241 · 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 teacher head, not a consensus.

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

Citations10
Published2010
Admission routes1
Has abstractyes

Explore more

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