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Record W2096869279 · doi:10.1080/016502500383368

Multiple dimension processing by newborns

2000· article· en· W2096869279 on OpenAlexaff
David P. Laplante, Lisa Vorkapich, Rhonda Orr, Kelli Neville

Bibliographic record

VenueInternational Journal of Behavioral Development · 2000
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsUniversity of WindsorUniversité de MontréalInstitut universitaire en santé mentale de Montréal
Fundersnot available
KeywordsHabituationStimulus (psychology)PsychologyVisual perceptionAudiologyDevelopmental psychologyCognitive psychologyNeuroscienceCommunicationPerceptionMedicine

Abstract

fetched live from OpenAlex

Newborn looking toward novel stimuli containing a single or two novel dimensions was assessed in two studies. In Study 1, newborns were habituated to a visual stimulus containing stimulus movement and line orientation information. Following habituation, stimuli containing two novel dimensions were attended to more than stimuli containing a single novel dimension. It was also demonstrated that newborns detect stimulus movement changes. In Study 2, stimuli containing novel colour and line orientation information, following habituation, were attended to across three test trials more than stimuli containing a novel colour only. Colour discrimination was also demonstrated. It was concluded that newborns appear to attend to stimuli containing two novel dimensions differently than those containing a single novel dimension. It was suggested that newborns employ an analytic mode of processing to detect novel dimensions. Further research is required to verify this conclusion and to determine what component is first attended to.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.999

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)0.0020.000

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 head0.063
GPT teacher head0.355
Teacher spread0.292 · 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 designBench or experimental
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

Citations2
Published2000
Admission routes1
Has abstractyes

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