Antecedents and Consequences of Evaluative Concerns Experienced During Intergroup Interaction: When and How Does Group Status Matter?
Notice bibliographique
Résumé
Individuals often evidence substantial egocentrism by virtue of being preoccupied with themselves and how they appear to others during social interaction. For example, people overestimate the extent to which others’ behavior is caused by and directed toward them personally (Zuckerman et al., 1983), perceive that others pay more attention to them than is actually the case (Gilovich, Medvec, & Savitsky, 2000), and even exaggerate others’ focus on their failures and mishaps (Savitsky, Epley, & Gilovich, 2001). Such egocentric biases may sometimes seem counterintuitive, as when they lead individuals to reach overly pessimistic conclusions about how they are viewed. However, the biases are readily understandable through the lens of contemporary theories emphasizing how individuals’ fundamental motivation to maintain a sense of belonging and acceptance leads them to continuously monitor their social standing with others (e.g., Leary & Downs, 1995). Critical from an intergroup relations perspective is that individuals do not leave this motivation for social acceptance – or the egocentric biases that it fosters – behind when they enter intergroup interaction situations. Although myriad forces are of course operative in these settings, individuals’ basic human desire to understand and manage their social standing with others remains very much in play. What does this mean for intergroup relations? The information search model (Vorauer, 2006) drew on existing research and theory to make a range of predictions regarding antecedents and consequences of evaluative concerns during intergroup interaction. A key premise of the model was that these concerns could have a variety of negative implications for intergroup relations. Although at the time clear evidence supported of some of the model's propositions, other propositions were largely speculative. In the decade or so since then, research has been conducted that speaks to many of these originally untested, or sparsely tested, ideas, and more data from members of minority or lower-status groups are available now than was initially the case. Accordingly, we review the new research and assess the extent to which the findings support versus contradict key propositions of the model. Because of space limitations, we focus on group memberships defined by ethnic background and broad themes, especially with respect to consequences. We place particular emphasis on the evidence for similarities versus differences across members of higher- and lower-status groups. We conclude by considering implications for intervention and identifying what we see as important next steps for research in this area.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».