Bibliographic record
Abstract
Du poète décrit par Ibn Khaldoun et mis en scène par Mouloud Mammeri à l’homme du « souffle », « respir » et assefrou, qu’il s’agisse de Jean Amrouche ou de Kateb Yacine, cet article retrouve un même allant du poème, voix que rien ne peut ni voiler ni imiter, geste qui organise le monde et lui donne place au large du sensé. Dans ce rapide parcours sur les traces d’une poétique comme élan qui installe le poème, voix et corps dans le monde, Mohammed Dib s’impose lorsque les voix de Djamila Amrane et de Jean Sénac apportent leur tribu, au milieu de toutes celles qui hantent des contes ancestraux.From the poet described by Ibn Khaldoun and dramatized by Mouloud Mammeri to the man of “breath”, “respir” and “assefrou”, whether it is discussing Jean Amrouche or Kateb Yacine, this article finds the common energy in the poems, a voice that nothing can obscure or imitate, a gesture that makes sense of the world while giving it a place outside the realm of the sensible. In this rapid journey, using this poetic discourse as momentum that places the poem, voice and body in the world, Mohammed Dib’s influence is obvious when Djamila Amrane and Jean Sénac add their voices to all those who haunt his ancestral tales.
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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 | 0.001 | 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 | 0.006 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".