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Record W2602571513 · doi:10.11622/smedj.2017020

Authors’ reply: Comment on: The joy of parenting: infant sleep intervention to improve maternal emotional well-being and infant sleep

2017· letter· en· W2602571513 on OpenAlexaff
Brian Symon, GE Crichton

Bibliographic record

VenueSingapore Medical Journal · 2017
Typeletter
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsKensington Health
Fundersnot available
KeywordsIntervention (counseling)CryingMedicinePresentation (obstetrics)Sleep (system call)PediatricsDevelopmental psychologyPsychiatryPsychology

Abstract

fetched live from OpenAlex

We thank the author of this letter We would like to make a number of points in response. The first is regarding the type of intervention utilised. We would like to refer interested readers to our published review, in which we defined a behavioural intervention as "a practice implemented by a parent or primary care-giver with the primary aim of improving infant sleep. These behaviours typically include ways of settling the baby at sleep time, how and when to respond to infant crying or signalling during a period of sleep, and other strategies to promote undisturbed sleep". This is a narrow and clear definition. As most clinicians would be aware, the presentation of each infant and their parents is unique. The precise plan that is given to parents varies according to the infant's age, weight, current feeding habits (e.g. overnight feeds, quantity of solids) and the parents' attitudes toward settling behaviours and degree of comfort with extinction-based strategies. As the specific advice was individualised for each family, we cannot easily define the specific intervention in any more detail than has been given. For example, the precise intervention for a four-month-old still requiring overnight feeds would be different from that for an 11-month-old infant who is well established on solids and of healthy weight.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.011
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 head0.034
GPT teacher head0.374
Teacher spread0.340 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2017
Admission routes1
Has abstractyes

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