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Record W4389500462 · doi:10.1080/0886571x.2023.2284693

A Critical Dialogue on Residential Care for Children and Youth: What We Really Know and Questions of Quality

2023· article· en· W4389500462 on OpenAlexaff
James P. Anglin, Bruce B. Henderson

Bibliographic record

VenueResidential Treatment for Children & Youth · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsResidential careConversationQuality (philosophy)Context (archaeology)PsychologyGeneralizationPublic relationsCentralitySociologyNursingMedicinePolitical scienceEpistemology

Abstract

fetched live from OpenAlex

The conventional belief that residential care is harmful to children and youth held by many organizations and individuals has been challenged in a recent book reviewing a broad range of the recent empirical literature. In a dialogue format, we discuss the historical context in which the book developed, its key points, and the implications and questions it raises about providing and supporting high quality residential care. The negative view of residential care has its roots in the inappropriate generalization of research results on infants and very young children in deprived environments to older children in more enriched environments. The research on residential care for children and youth shows that the quality of care is more important than its site. Research also highlights the features of care that are most important to high quality, including the centrality of sensitive, reciprocal positive relationships. We offer some “wicked questions” that can be used by practitioners in their reflections on the care they provide and to begin to change the international conversation about residential care.

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)0.028
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0200.068
Scholarly communication0.0210.038
Open science0.0050.010
Research integrity0.0170.050
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.352
Teacher spread0.314 · 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 designQualitative
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

Citations8
Published2023
Admission routes1
Has abstractyes

Explore more

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