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Record W2163313399 · doi:10.12968/bjom.2014.22.9.625

Parents' choice of non-supine sleep position for newborns: a cross-sectional study

2014· article· en· W2163313399 on OpenAlexaff
Charlotte Wright, Hanna Beard, Jennifer Cox, Paula Scott, Joyce Miller

Bibliographic record

VenueBritish Journal of Midwifery · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsCanadian Chiropractic Association
Fundersnot available
KeywordsSupine positionMedicinePosition (finance)ChiropracticProne positionPediatricsOutpatient clinicCross-sectional studySleep (system call)Physical therapyAlternative medicineAnesthesia

Abstract

fetched live from OpenAlex

The objective of this study was to investigate the sleeping position of infants attending an outpatient clinic, considering the influences of the back to sleep (BTS) campaign. A paper survey was given to 678 parents who presented their infant (under 1 year of age) to the paediatric chiropractic clinic for care asking their infant's sleep position. Of the total survey sample, 50‥ of parents selected the supine position as the preferred position they placed the baby to sleep, 19‥ of parents preferred to place their babies prone, 34‥ on the babies side and 2‥ selected other. Some mothers selected more than one preferred sleeping position. The initial decline of mothers using non-supine positioning, seen shortly after the implementation of the BTS campaign, is no longer evident. Recent research implies approximately half of infants are now placed in a non-compliant sleeping position. If an infant’s most preferred sleeping position is not that of current guidelines, manual therapy such as chiropractic care should be sought to help infants sleep supine with comfort.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.037
GPT teacher head0.325
Teacher spread0.288 · 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 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

Citations3
Published2014
Admission routes1
Has abstractyes

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