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Record W2119859583 · doi:10.1093/jpepsy/jss066

A Longitudinal Examination of Verbal Reassurance During Infant Immunization: Occurrence and Examination of Emotional Availability as a Potential Moderator*

2012· article· en· W2119859583 on OpenAlexafffund
Nicole Racine, Rebecca Pillai Riddell, David B. Flora, Hartley Garfield, Saul Greenberg

Bibliographic record

VenueJournal of Pediatric Psychology · 2012
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHospital for Sick ChildrenYork UniversityUniversity of Toronto
FundersCanadian Institutes of Health ResearchYork University
KeywordsModerationPsychologyDistressLongitudinal studyNonverbal communicationEmotional distressClinical psychologyMedicineDevelopmental psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

OBJECTIVE: This study investigated the associations between caregiver verbal reassurance and infant pain-related distress during immunization over the first year of life. The relationships between verbal reassurance and caregiver emotional availability (EA) were also examined. Finally, EA was investigated as a moderator of the relationship between verbal reassurance and infant pain. METHODS: A cross-sectional analysis was conducted with 606 infants (and their parents) at 4 different ages (n = 376 at 2 months, n = 455 at 4 months, n = 484 at 6 months, and n = 407 at 12 months). RESULTS: Verbal reassurance was positively associated with infant distress across all four ages. EA was only negatively related to verbal reassurance at 12 months of age. EA was not a significant moderator at any age. CONCLUSION: Findings demonstrate consistent but small relationships between verbal reassurance and infant pain over the first year of life.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.312
Teacher spread0.290 · 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

Citations26
Published2012
Admission routes2
Has abstractyes

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