Bibliographic record
Abstract
Ce mot ne peur etre que celui de Carnac.Lucie Albertini-Guillevic, sa femme inspiratrice et l'edittice du present livre, rappelle opportunement « la fidelite aux racines de l'aujourd'hui du poete » (8).Que ce livre se termine par un poeme du lieu de naissance -alors qu'il se sait deja trop « souffreteux » selon ses propres termes -et a trois mots de sa mort -reveIe une grande constante chez le poere en meme temps que d'un desir de recapitulation finale.« Il y a quelque chose a Carnac / Ou se donnent a voir / Les traces du vieil ordre.».On peut y lire une sorte de nostalgie -lui qui pourtant disait etre un des rares poetes a ne l'etre pas -, mais une nostalgie pour les origines, celles de cette terre mysterieuse ou sont venus s'installer des hommes qui ont construit des monuments dom les vestiges ne laissent roujours pas deviner aux savants du XXl e siecle ce qu'ils pouvaiem precisement representer.Guillevic recherche cet ordre et n'est pas loin de le deviner « Mais en roi tu les sens », (<< Les traces du vieil ot"dre »).Guillevic s'est roujours situe a mi chemin emre le raisonnement scientifique, et l'intuition poetique.De meme, son verbe se situe-t-il ami-chemin emre la tradition et la modernite, entre le lyrisme et l'epopee, entre la prose et la poesie.C'est rout simplement l'expression incomparable d'un poere libre.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.056 | 0.023 |
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".