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Record W2752256837 · doi:10.3390/children4090077

Sleep Disorders in a Sample of Adopted Children: A Pilot Study

2017· article· en· W2752256837 on OpenAlexaffabout
Meghna Rajaprakash, Elizabeth N. Kerr, Benita Friedlander, Shelly K. Weiss

Bibliographic record

VenueChildren · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsSickKids FoundationHospital for Sick ChildrenBC Children's HospitalUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsSleep (system call)PsychosocialPsychologyClinical psychologySleep disorderPsychiatryDevelopmental psychologyInsomnia

Abstract

fetched live from OpenAlex

Sleep disorders occur in up to 25% of children and are more prevalent in children who have attention problems and attachment issues. Research shows that foster children display sleep problems, but limited knowledge exists on sleep problems in adopted children. This pilot study aimed to identify the types of sleep disorders in adopted children and associated psychosocial factors. Parents of adopted children in Ontario, Canada, ages 2-10 years were asked to complete questionnaires evaluating demographic measures, sleep history, and the presence of behavioral problems. Insomnias and parasomnias were reported in adopted children and were associated with attention problems. This pilot study emphasizes the need for further research on the underlying factors governing the relationship between poor sleep and behavioral problems in adopted children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.944

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 science0.0010.000
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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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.

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

Citations5
Published2017
Admission routes2
Has abstractyes

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