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Record W1980879285 · doi:10.2147/prbm.s14057

Clinical management of behavioral insomnia of childhood

2011· article· en· W1980879285 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

VenuePsychology Research and Behavior Management · 2011
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychological interventionPsychosocialInsomniaCognitive behavioral therapy for insomniaSleep (system call)Affect (linguistics)Cognitive behavioral therapyCognitionPsychologyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Behavioral insomnia is highly prevalent, affecting approximately 25% of children. It involves difficulties initiating and maintaining sleep and frequently results in inadequate sleep, leading to an array of negative effects for both the child and the child's family. In this paper, we describe a variety of empirically supported behavioral interventions for insomnia from infancy through adolescence. We explore how biological, cognitive, and psychosocial developmental changes contribute to behavioral insomnia and how these changes may affect sleep and behavioral interventions. We also discuss barriers that prevent families from accessing interventions, including why many empirically-supported behavioral interventions are overlooked by health care providers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.204
GPT teacher head0.501
Teacher spread0.296 · 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