Non-lieux et déterritorialisation, tropicalisation et reterritorialisation dans Passages d’Émile Ollivier et Chronique de la dérive douce de Dany Laferrière
Bibliographic record
Abstract
Dans les littératures migrantes, l’espace est souvent un lieu de passage, hostile et vide de toute dimension humaine. Pour (re)trouver ses repères, le personnage migrant doit reconfigurer ce « non-lieu» qu’est le pays d’accueil, au risque d’en faire le terrain d’un conflit irrésolu entre deux cultures. Parfois, l’espace de la migration se mue alors en théâtre de l’entre-deux. Cet article tente d’analyser les processus de reterritorialisation de l’espace de la migration dans Passages d’Émile Ollivier et Chronique de la dérive douce de Dany Laferrière, en partant de l’hypothèse qu’il y a des liens entre non-lieux et déterritorialisation ainsi qu’entre tropicalisation et reterritorialisation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".