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Record W1989666328 · doi:10.1207/s15402010bsm0404_4

Effects of an Intervention Aimed at Reducing Night Waking and Signaling in 6- to 12-Month-Old Infants

2006· article· en· W1989666328 on OpenAlexaff
Wendy A. Hall, Roy A Saunders, Marion Clauson, Elaine M. Carty, Patricia A. Janssen

Bibliographic record

VenueBehavioral Sleep Medicine · 2006
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsActigraphyCryingIntervention (counseling)Randomized controlled trialSleep (system call)MedicineNapSleep diaryPhysical therapyPsychologyPediatricsAudiologyInsomniaPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

This quasi-experimental one-group pre- and posttest pilot study evaluated an intervention aimed at reducing night waking and signaling for infants between 6 and 12 months of age. Thirty-nine healthy infants and their parents were recruited. Thirty-five infants completed the intervention and data collection. Both parents participated in a group teaching session with telephone follow-up for 2 weeks. Actigraphy and sleep diary data were collected at baseline and 6 and 16 weeks postintervention. We hypothesized a decrease in length and number of infant waking and crying periods and an increase in longest night sleep and nap time. Following the intervention, infants had significantly reduced length of night crying and number of wakes and longer night sleep periods. The intervention warrants evaluation with a randomized controlled design.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.401
Teacher spread0.370 · 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 designRandomized trial
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

Citations27
Published2006
Admission routes1
Has abstractyes

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