MétaCan
Menu
Back to cohort
Record W2236222542 · doi:10.25071/0843-4182.29750

Axel Maugey, Gaston Miron

2001· article· fr· W2236222542 on OpenAlexaffvenue
Pierre Léon

Bibliographic record

VenueLittéRéalité · 2001
Typearticle
Languagefr
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

temps a autre, des eclairs de bonheur comme dans ce poeme de la Nuit 20, qui commence ainsi, un peu a la Prevert : «Le matin clair/le matin frais/eclatantlles mouvements intarissables/la poussiere dans tes yeuxltes larmes/le rire/un the bien chaud/du pain brfilantlla rue au lever/le vent encore humide/le petit frisson de l'air nouveau sur nos peauxlquelqu'un qui rit au loin/et encore/ton visage contre le mien» (116-117).Mais ce moment de fraicheur est brise par «tes larmes», au beau milieu, et par les derniers vers : «comme ce souvenir qui revient sans cesse/a toutes les morts» (117).Et les mots ultimes qui ferment le recueil seront ceux d'un adieu tragique : «on s'est embrasse sur les joues/et je ne t'ai pas ditlj'ai attendu un jour de trop/je pars ce soir/pour une seconde/au bout de la corde qui me retient» (128).On a vu, chemin faisant nombre d'exemples on se manifeste le sens poetique de l'auteur.Les images surprenantes abondent et s'actualisent le plus souvent en polarites de contrastes, tels : une vie de mort ( 19), un fouet me sourire (19), l'ile noire de l'amour (23), douce tristesse (36), fureur du silence (37), etc.Le texte est egalementjoliment cadence, au rythme d'une expression tour a tour exaltee ou abattue, comme on a pu le voir dans les citations ci-dessus.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.036
GPT teacher head0.261
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueLittéRéalitéSame topicNeurology and Historical StudiesFrench-language works237,207