Interculturalité, communication et migrations transnationales : frontières, politiques et citoyenneté
Bibliographic record
Abstract
Ce colloque se tiendra du 16 au 20 octobre sur le campus Praia Vermelha de l’université fédérale de Rio de Janeiro (Brésil), dans le cadre de l’édition conjointe du IX forum de migrations / Migratic 2017, fruit d’une initiative collaborative et en réseau entreprise par des chercheurs du Brésil, de la France, du Canada, de l’Espagne, des États-Unis, de l’Uruguay, du Chili et de la Martinique. Cette rencontre scientifique internationale a pour objectif de réunir chercheurs et spécialistes de différents pays du monde intéressés par les problématiques autour des liens entre migrations, interculturalité et communication. Elle devrait orienter les débats sur la question migratoire et sa conjugaison avec le champ théorique de la communication, des théories de la culture, des études frontalières, et ce, en référence aux notions de politique, de démocratie et de citoyenneté.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".