Appels et réponses : quand les poètes noirs contemporains redonnent vie aux écrits des militants afro-créoles de Louisiane des années 1860
Bibliographic record
Abstract
La lutte pour la justice raciale aux États-Unis trouve ses racines dans l’activisme progressiste des Créoles francophones de Louisiane pendant la guerre de Sécession (1861-1865) et la Reconstruction (1863-1877). Comme l’expriment leurs écrits publiés dans deux journaux (L’Union et La Tribune de la Nouvelle-Orléans), ces militants ont développé une « tradition contestataire » pour défendre l’égalité des droits après l’esclavage, y compris à travers la poésie. Mon livre Afro-Creole Poetry in French from Louisiana’s Radical Civil War-Era Newspapers (2020) rassemble la plupart de ces poèmes, en langue originale française et en traduction anglaise. Reconnaissant leur pertinence pour le contexte actuel, The Historic New Orleans Collection a invité trois écrivains noirs (anglophones) à choisir l’un de ces poèmes et à composer leur propre réponse : Kalamu ya Salaam, Mona Lisa Saloy et Kelly Harris-DeBerry. Cet article examine ce dialogue poétique, en cernant à la fois les filiations idéologiques et les innovations littéraires.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".