Exploring speech expectations during the hiring process and perceived accent discrimination in the workplace: Outcomes for L2 French job applicants and employees in Québec
Notice bibliographique
Résumé
Because people often infer a person’s personal and professional characteristics such as intelligence and competence from that person’s accent, employers, colleagues, or customers may react negatively toward speakers who display second language (L2) speech, which can be detrimental to those speakers’ chances of obtaining a job, their prospects of job advancement, and their sense of belonging to their workplace community. However, the majority of research on accent bias in the workplace focuses on L2 English accents and relies on first-impression listener judgments. This dissertation addresses these shortcomings by providing a comprehensive listener- and speaker-focused perspective through two complementary studies that explore how L2 French speakers are evaluated during extended job interviews and how L2 French speakers experience workplace accent discrimination in Québec. \n Study 1 explored whether L1 French listeners’ evaluations of L1 and L2 French-speaking job applicants would differ under various expectation conditions (congruent, incongruent, no-expectancy). A typical interview process was emulated by presenting 55 HR-experienced listeners first with job applicants’ resumes, then with audio-recorded interview excerpts, which captured how employability evaluations and speech perception might evolve dynamically throughout the interview process. The L2 applicants were perceived as less employable than the L1 applicants. When an applicant was presumed to be an L2 speaker based on her resume, her employability was subsequently upgraded when she spoke L1 French. Lower employability evaluations of L2 applicants were related to their accent being perceived as less prestigious and more difficult to understand than expected. \n Study 2 investigated perceived accent discrimination and its possible consequences from the perspective of 60 L2 French-speaking employees. Participants provided anecdotes and responded to surveys about how they are treated at work due to their French accent and how willing they are to engage in certain work interactions. Having more frequent experiences with accent discrimination in the workplace was associated with employees avoiding taking on leadership roles, participating at meetings, and applying to certain jobs. Common stereotypes mentioned by employees were being labeled as foreigners, perceived as incompetent and unwilling to learn French, and identified as a threat to the survival of French in Québec.
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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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».