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Record W2159768944 · doi:10.5014/ajot.62.2.198

Pilot Study Investigating Infant Vagal Reactivity and Visual Behavior During Object Perception

2008· article· en· W2159768944 on OpenAlexaff
Kris Pizur‐Barnekow, Gary W. Kraemer, Jill M. Winters

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2008
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTone (literature)Asynchronous communicationVagal tonePsychologyAudiologyPerceptionVisual attentionVisual perceptionAuditory stimuliAnalysis of varianceNeuroscienceMedicineHeart rateAutonomic nervous systemComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: The authors examined whether changes in vagal tone were related to infant visual attention during auditory and visual events paired (synchronous) and not paired (asynchronous) in time. They predicted that infants would demonstrate greater visual attention to the synchronous slideshow and that vagal tone would decrease with visual attention. METHOD: Nineteen infants, 3.5 months old, watched computer-generated synchronous or asynchronous slideshows of auditory and visual stimuli. Visual behavior and vagal tone data were collected. Vagal tone reflects physiological responses during attention or exposure to mild stressors. Repeated-measures analysis of variance examined differences in vagal tone across conditions. RESULTS: Visual behavior did not differ between the synchronous and asynchronous slideshow conditions. Vagal tone was significantly lower during the asynchronous slideshow. CONCLUSION: Infants may discriminate synchronous from asynchronous stimuli without changing visual behavior. Implications related to play with toys or objects are discussed.

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 score0.170
Threshold uncertainty score0.779

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.151
GPT teacher head0.428
Teacher spread0.277 · 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

Citations44
Published2008
Admission routes1
Has abstractyes

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