Perceived Accent Discrimination: Psychosocial Consequences and Perceived Legitimacy
Bibliographic record
Abstract
Prior research has documented that nonstandard ways of speaking can be subject to discrimination, and that nonstandard speakers are aware of the biases toward their accents. However, few studies have investigated the consequences of this for the stigmatized speaker. The objectives of this study are to explore how perceived legitimacy of discrimination moderates the relationship between perceived accent discrimination and the following two variables: (a) situated francophone identity and (b) French language confidence. Participants were nonnative ( n = 113) and native ( n = 225) speakers of French who completed questionnaires assessing the above constructs. Moderated regression analyses revealed that language discrimination is significantly and negatively related to language confidence. For native speakers from a high vitality region, legitimacy was found to moderate the relation between language discrimination and identity. When discrimination was perceived to be less legitimate, the relation between perceived discrimination and situated identity was positive.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".