Pour une approche interculturelle critique au XXIe siècle : dépasser la culture pour lutter contre le racisme
Bibliographic record
Abstract
Dans cet article, nous proposons de poser les balises d’une approche interculturelle dite critique qui dépasserait les concepts clés de l’approche interculturelle, à savoir la culture et les compétences interculturelles (Cohen-Emerique et Rothberg, 2015; Legault, 2000). Au-delà de la considération des aspects communicationnels et subjectifs de l’interaction entre les cultures et les identités, il s’agit pour nous d’identifier, de reconnaître et d’intégrer les inégalités structurelles, les tensions contemporaines et le « nano-racisme » (Mbembe, 2016), c’est-à-dire celui qui se manifeste au quotidien à travers des interactions sociales. En d’autres mots, au-delà d’une approche interculturelle subjectiviste et interactionniste, nous proposons essentiellement de considérer de façon systémique le racisme pour promouvoir une approche interculturelle critique.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".