L’avenir des sabliers. Sur des poèmes de Sélim Baghli et de Farid Laroussi
Bibliographic record
Abstract
Autant la poésie de Sélim Baghli peut être hachée, hésitante, inquiète d’elle-même, autant celle de Farid Laroussi frappe d’estoc, est assurée et ferme. Quand les vers de Baghli cooptent Verlaine, la prose de Laroussi affiche plus d’une accointance avec celle de Rimbaud. Cet article ne se propose pas de produire un brillant paradoxe à la manière des critiques littéraires vaporeux, mais d’essayer de comprendre comment des poèmes de Baghli et de Laroussi, en mettant à leur manière en scène un sujet qui résiste aux ravages du passé tout en étant dans le temps de l’après-coup, se trouvent plus ou moins travaillés par le thème de « l’Algérie malgré tout ».As much as Sélim Baghli’s poetry can be choppy, faltering, and self-conscious, Farid Laroussi’s is direct, self-assured and firm. Where Baghli’s verses co-opt Verlaine, Laroussi’s prose has a clear link to Rimbaud. This article does not attempt to illuminate an obvious paradox in the hazy style of literary critique, but instead it attempts to understand how the poems of Baghli and Laroussi portray, in their own way, a subject that resists the ravages of the past all the while existing in the post-coup era, finding themselves more or less shaped by the theme of “Algeria in spite of it all.”
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".