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Record W2143360122 · doi:10.1111/infa.12031

Object Locations, Identity and Absent Reference Understanding at 12 Months

2013· article· en· W2143360122 on OpenAlexaff
Maria A. Osina, Megan M. Saylor, Patricia A. Ganea

Bibliographic record

VenueInfancy · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsObject (grammar)ReferentPsychologyIdentity (music)Contrast (vision)Cognitive psychologyConfusionObject permanenceCognitionFeature (linguistics)CommunicationIndividuationCognitive developmentArtificial intelligenceComputer scienceLinguisticsNeuroscience

Abstract

fetched live from OpenAlex

Spatial and contextual information plays an organizing role in many cognitive processes including object individuation and memory retrieval. Recently, attention has been drawn to the fact that changes in an object's location negatively affect infants' learning in different domains. One example is that prestudy exposure to a target object in a nontest location disrupts infants' ability to locate that object when it is hidden in a test room. In the current study, we investigate the possibility that infants' difficulty finding the object is the result of confusion about the identity of the target object. In the current research, infants were familiarized with an object in one room and tested in the other. Infants who were shown a characteristic identifying feature on the object in both locations and who were thus able to track the object identity could later locate the absent referent. In contrast, when infants' attention was drawn to different features on the object in the two locations or to the object itself via pointing, infants were unable to find the object.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.065
GPT teacher head0.317
Teacher spread0.252 · 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

Citations26
Published2013
Admission routes1
Has abstractyes

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