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Record W2133501967 · doi:10.1177/1063426608323371

Measuring the Restrictiveness of Living Environments for Children and Youth

2008· article· en· W2133501967 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Emotional and Behavioral Disorders · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCasey House
Fundersnot available
KeywordsRestrictivenessTypologyPsychologyMeasure (data warehouse)Cluster (spacecraft)Sample (material)InterviewDevelopmental psychologyComputer scienceGeographySociology

Abstract

fetched live from OpenAlex

The Restrictiveness of Living Environment Scale has long been the primary way to conceptualize the “restrictiveness” of a child’s living situation. However, changes in systems of care and other factors have created a need to revisit how restrictiveness is conceptualized and measured. A measure was created to assess an environment’s level of restrictiveness and form the basis for empirically created general environment types. The measure was refined using expert review, cognitive interviewing, and pilot testing. Over 1,000 child organizations and older youth were invited to participate, with responses completed for 446 youth. The sample was reduced to 313 because of a large response from one setting. Cluster analysis produced a four-cluster solution suggesting low, moderate, elevated, and high restrictiveness for a simplified general environment typology. The data also suggest overlap among clusters and that settings with the same names can vary. Limitations are described, and plans for how the measure will be further developed are outlined.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.178

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 studies0.0000.000
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 head0.101
GPT teacher head0.335
Teacher spread0.234 · 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