Echanges littéraires dans l’espace francophone. Le cas de la correspondance Senghor-Brien (1967‒1980)
Bibliographic record
Abstract
Exchanges between writers in the French-speaking world. The case of the correspondence between Leopold S. Senghor and Roger Brien (1967−1980) This article proposes to study the unpublished and very little known correspondence between Léopold S. Senghor and a Quebec poet, Roger Brien. Our study mainly concerns the way in which Brien forges links with the president of Senegal. The relation Senghor-Brien (its conditions, issues and modalities) is analysed from the point of view of the Canadian poet. By consulting Brien’s letters, we discover three major issues that are organized around his poetic work: the recognition, the dissemination and the publication of his literary works. Highlighting these questions allow us to better understand the functioning and the dynamism of this unexplored relation between the two writers.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".