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Record W190345184

Are Infants Discriminatory Learners and Helpers? The Influence of a Model’s Reliability on Infants’ Selective Trust

2013· dissertation· en· W190345184 on OpenAlexfundno aff
Ivy Brooker

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2013
Typedissertation
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaNational Institutes of HealthConcordia University
KeywordsPsychologyWord learningIgnoranceDevelopmental psychologyCompetence (human resources)Cognitive psychologyObject (grammar)Irrational numberSocial psychologyVocabularyLinguisticsComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The objective of the present dissertation was to examine infants’ selective trust as influenced by different aspects of a model’s reliability. The first study examined whether eighteen-month-old infants would behave differently towards a speaker as a function of how accurately she labeled familiar objects. The behavioral markers of trust examined were whether infants learned a novel word, imitated the speaker’s irrational actions, and helped the speaker obtain an out-of-reach object. In contrast to infants exposed to an accurate speaker, those who interacted with an inaccurate speaker performed more poorly on a word learning task and were less likely to imitate. All infants demonstrated high rates of instrumental helping. 
\nThe second study aimed to tease apart the effects of a model’s intent (benevolence or malevolence) and verbal competence (knowledge or ignorance of familiar object labels) on 18-month-olds’ selective trust when both factors were simultaneously presented but independently manipulated. Infants’ non-verbal behaviors indicated that they became impatient with the malevolent experimenter. Infants also, though more modestly, modified their selective learning; while they were less likely to learn a novel word from either an ignorant and malevolent model, they were more likely to imitate the competent but malevolent model. In addition, while none of the infants modified their strong willingness to help, all infants tended to look longer at a neutral image of the experimenter in comparison to that of a stranger. 
\nFinally, the third study examined how 24-month-olds’ selective trust would be affected by the emotional reliability of a familiar model, such as the level of sensitivity of a primary caregiver (coded during a 10-min period of interaction between the dyad). Infants learned novel words better from an emotionally reliable primary caregiver. In addition, higher parental responsiveness and availability predicted better imitation in older children and higher levels of helping in girls. Taken together, these findings are the first to demonstrate that infants consider a model’s verbal, intentional, and emotional reliability when deciding whether to learn but not when deciding to help. Thus, infants’ selective trust appears to be motivated by epistemic and emotional factors.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.026
GPT teacher head0.300
Teacher spread0.274 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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