Intimate racism against intercultural couples: The harmful role of racism from family, friends and romantic partners on couples' identification, belonging needs, and relationship quality
Notice bibliographique
Résumé
Given the unconscious nature of implicit prejudice (Banaji & Hardin, 1996; Greenwald & Banaji, 1995) and subtle racism (Sue et al., 2007), people may believe that they cannot be racist if they are interested in dating interculturally. This research program brings the invisible topic of intimate racism within intercultural couples to the foreground. While most research assumes that racism against intercultural couples come from strangers belonging to the majority group, there is virtually no research probing into the deleterious and threatening experience of racism from those that are closest to the couple: one’s intimate partner and close others. Specifically, this research first intends to identify how racism manifests itself from intimate partners and close others against partners in intercultural couples. We are achieving this through qualitative methods that give voice and shape to these overlooked experiences. Second, this research will develop a measure of intimate racism for partners in intercultural couples based on the findings from the qualitative data. Third, this research will unpack the critical role of intimate racism in predicting threatened belongingness needs, identity conflicts and lower relationship quality. We will achieve this through a largescale, quantitative and dyadic study, which will examine the mutual influence of each partner’s intimate racism experiences to their own and to their partner’s outcomes. Both partners in each couple will be tested, and dyadic analyses (APIM) will enable us to examine the mutual influence of each partner’s intimate racism experiences to their own and to their partner’s outcomes. Given that the destructive impact of racism is likely to be amplified when the source is someone close, we expect that intimate racism will predict threatened belonging needs and lower relationship quality. Moreover, given that racism tends to create conflict and division between an individual’s cultural identities, we expect that this would extend to the relationship between one’s couple and cultural identities; greater intimate racism would predict compartmentalization of one’s identities. The current program will expand our representation and understanding of intercultural couples’ experiences with racism in the literature. Second, it introduces the concept of intimate racism, which can be extended to other vulnerable populations (e.g., cultural, sexual, gender and class minorities). This research also sets the stage for experimental and longitudinal studies to determine the causal impact of intimate racism. Our findings will influence helping professionals by providing greater insight into the hardships and conflicts that intercultural couples face in their most intimate spaces. Therapists and social workers would thereby be more able to support and protect partners in intercultural couples against the detrimental impact of intimate racism. Racism is harmful and persistent in our Canadian societies (Satzewich, 2011), and yet intimate racism remains an invisible issue in both scientific and public spheres. It is therefore imperative to shed light on this issue and its impact in order to counter and remedy this phenomenon at all levels of society.
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 | 0,005 | 0,012 |
| 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 | 0,004 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,000 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».