Are Infants Discriminatory Learners and Helpers? The Influence of a Model’s Reliability on Infants’ Selective Trust
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».