Exploring social attitudes toward second language speakers of English across Canada
Notice bibliographique
Résumé
Nearly a fifth of Canada’s population is represented by people from other countries, most of whom speak languages other than English or French. Though there has been some exploration of social attitudes toward these ethnolinguistic groups, there have been no multi-city investigations of social attitudes, particularly toward second language (L2) speakers, in major cities where immigrant populations are most concentrated. Furthermore, there have been few studies that present speech samples alongside images suggesting speaker ethnicity and/or religious affiliation. Therefore, this dissertation explores ratings of L2 speakers across multiple dimensions and considers the role of social attitudes and social network exposure in formation of those judgments. \n \nStudy 1 explored how residents of Calgary and Montreal judge the comprehensibility and accentedness of L2 speech in audio-only and audiovisual conditions and whether those judgments are associated with residents’ overall social attitudes toward immigrants. There were no context or image effects, but differences emerged among ratings of certain language groups, as well as raters’ general attitudes toward immigrants. Ultimately, raters’ attitudes were not associated with their ratings of L2 speech. \n \nStudy 2 explored how native-born residents of Canada judge L2 speakers’ intelligence, friendliness, and trustworthiness and investigated how those judgments might be related to residents’ general social attitudes toward immigrants. No significant differences emerged between speech samples presented as audio-only versus with a nonreligious or religious image. However, there was a clear hierarchy in how specific language groups were evaluated. Social attitudes questionnaire responses revealed generally positive attitudes toward immigrants. Ultimately, those attitudes had weak relationships with rater judgments of L2 speakers’ intelligence, friendliness, and trustworthiness. \n \nStudy 3 explored how native-born residents of Montreal and Calgary compared in judgments of L2 speaker citizenship and how those judgments might be related to raters’ L2 social networks. No differences based on image condition or context surfaced in judgments of L2 speaker citizenship. However, specific language groups differed in how their citizenship status was perceived. There were also between-context differences in native-born residents’ interactions with L2 speakers. Ultimately, social network characteristics had no influence on citizenship ratings in either context.
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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 | 0,001 | 0,002 |
| 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 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».