Vers des cultures mobiles? La migrance en question. Divergences et convergences dans les discours littéraires au Québec et en Amérique latine.
Bibliographic record
Abstract
Propomos uma leitura do discurso literário sobre a migrância no Québec e na América latina. Debruçamo-nos sobre um escritor quebequense, Sergio Kokis, e sobre o mexicano Carlos Fuentes. Analisaremos como esses escritores tratam da problemática da alteridade e, conseqüentemente, da identidade, intimamente ligadas ao deslocamento. O fenômeno da migrância maciça é relativamente recente. Portanto, suas representações literárias, no contexto da globalização, deixam transparecer os sinais de um novo espaço, um novo estado de coisas em uma cultura cujas relações entre uns e outros são com freqüência difíceis. Vamos determinar de que maneira se constrói esse terceiro espaço, espaço do movimento, do deslocamento, na cultura em emergência, na cultura da era da mobilidade. Résumé: Nous proposons une lecture du discours littéraire sur la migrance au Québec et en Amérique latine. Nous nous sommes penchée sur un écrivain québécois, Sergio Kokis, et sur le Mexicain Carlos Fuentes. Nous analyserons comment ces écrivains soulèvent la problématique de l’altérité et en conséquence de l’identité, étroitement liées au déplacement. Le phénomène de la migrance massive est relativement récent. Donc ses représentations littéraires, dans le contexte de la mondialisation, laissent transparaître les signes d’un nouvel espace, un nouvel état des choses dans une culture où les relations entre les uns et les autres sont souvent difficiles. Nous allons repérer de quelle manière se construit ce tiers espace, espace du mouvement, du déplacement, dans la culture en émergence, la culture de l’ère de la mobilité.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".