Becoming a Cultural Intermediary
Bibliographic record
Abstract
Much of the research linking language and discrimination has been concerned with first-language practices. Yet an intergroup perspective supports the possibility that prejudice may be communicated between groups not sharing the same first language. This article explores how factors associated with the acquisition and use of a second language contribute to the development of antidiscriminatory behaviours. Data regarding these issues were collected from 209 Francophone university students attending school in a bilingual environment. Two specific goals were pursued: (a) the development of an appropriate intercultural mediation measure and (b) an examination of how factors associated with second-language acquisition relate to the use of antidiscriminatory behaviours. Results demarcate involvement and noninvolvement dimensions of the mediation measure. Furthermore, a path analysis suggests that antidiscriminatory behaviours are linked to identification with one's own ethnic group. Results are discussed within the context of current approaches to the link between language and discrimination.
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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 | 0.001 | 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) | 0.000 | 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".