Visual Cues to Speakers’ Religious Affiliation and Listeners’ Understanding of Second Language French Speech
Why this work is in the frame
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Bibliographic record
Abstract
Previous research has shown that speakers’ visual appearance influences listeners’ perception of second language (L2) speech. In Québec, Canada, the context of this study, pandemic mask mandates and a provincial secularism law elicited strong societal reactions. We therefore examined how images of speakers wearing religious and nonreligious coverings such as medical masks and headscarves influenced the comprehensibility (listeners’ ease of understanding) and intelligibility of L2 French speech. Four L2 French women from first language (L1) Arabic backgrounds wore surgical masks while recording 40 sentences from a standardized French-language speech perception test. A total of 104 L1 French listeners transcribed and rated the comprehensibility of the sentences, paired with images of women in four visual conditions: uncovered face, medical mask, hijab (headscarf), and niqab (religious face covering). Listeners also completed a questionnaire on attitudes toward immigrants, cultural values, and secularism. Although intelligibility was high, sentences in the medical mask condition were significantly more intelligible and more comprehensible than those in the niqab condition. Several attitudinal measures showed weak correlations with intelligibility or comprehensibility in several visual conditions. The results suggest that listeners’ understanding of L2 sentences was negatively affected by images showing speakers’ religious affiliation, but more extensive follow-up studies are recommended.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it