L'exilé de toute part suivi de la Poétique négro-africaine de l'exil
Bibliographic record
Abstract
Grâce à une réflexion sur ma création poétique, cette thèse exploite « la poétique négro-africaine de l’exil » à travers cinq recueils de Césaire, Kayóya, Senghor et Tshitungu Kongolo. \nD’une part, mon recueil extériorise les joies et les peines du Burundi précolonial, colonial, postcolonial et d’un exilé francophone au Canada largement anglophone. Mes exigences esthétiques sont, premièrement, l’emploi des figures de style pour que mes poèmes soient des paroles plaisantes au cœur et à l’oreille. Deuxièmement, chaque poème véhicule une poly-isotopie. Troisièmement, pareil à mon identité hybride, mon recueil est un mariage de la poésie des vers courts français et des unités discursives burundaises. \nD’autre part, mon analyse critique examine la manière dont le poète exilé idéalise le pays perdu et suggère des réserves face au pays hôte qui lui impose une nouvelle identité. Ensuite, mon analyse révèle que l’écriture poétique est en elle-même un exil.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".