MétaCan
Menu
Back to cohort
Record W4416733120 · doi:10.1177/20416695251391640

Motion parallax allows 7-8-month-old infants to distinguish pictures from their referents

2025· article· en· W4416733120 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuei-Perception · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence FundDeutsche Forschungsgemeinschaft
KeywordsParallaxMotion (physics)PreferenceBinocular disparityBinocular vision

Abstract

fetched live from OpenAlex

Earlier research has shown that seven-month-old infants prefer to look at real objects over their referents. Which visual cues determine that preference? Motivated by research on adult observers highlighting the significance of motion parallax over other depth cues contributing to a sense of presence and place, we tested the hypothesis that motion parallax alone is sufficient to cause preferential looking to real objects in infants. We presented pairs of displays of toys in different formats: (a) The real three-dimensional toy; (b) a realistic image of that toy presented on screen; (c) the same image, but with added depth-from-motion-parallax. Infants preferred (a) over (b) (57% vs. 43%, p < .01) and (c) over (b) (52% vs. 48%, p < .05), but showed no significant preference between (a) and (c) (51% vs. 49%, n.s.). This supports the hypothesis that motion parallax alone can induce a looking preference comparable to that observed for real objects.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

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)0.0020.001

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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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