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Record W4310030111 · doi:10.26522/vp.v19i2.4114

Poèma per Nour / Poème à Nour

2022· article· fr· W4310030111 on OpenAlexvenueaboutno aff
Maëlle Dupon

Bibliographic record

VenueVoix Plurielles · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Maëlle Dupon est poète et écrivaine, née à Montpellier (France). Elle est titulaire d’un master en littérature occitane de l’Université Paul-Valéry de Montpellier et d’un baccalauréat en littérature québécoise et catalane de l’Université de Montréal. Son premier recueil bilingue La color lenta de la pluèja / La couleur lente de la pluie a été publié aux éditions Jorn en 2013. Elle vit entre le Québec et l’Occitanie et participe à de nombreux événements littéraires. Elle est membre du PEN Occitan, section du PEN International pour la défense des écrivains, et membre du Cercle culturel Catalan du Québec ainsi que du Comité de rédaction de la revue littéraire Femmes de parole. Son deuxième ouvrage bilingue Vènus a l’Escorpion / Vénus en Scorpion est paru aux éditions Reclams en 2022.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1090.023

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.

Opus teacher head0.016
GPT teacher head0.202
Teacher spread0.186 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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Same venueVoix PluriellesSame topicMedieval European Literature and HistoryFrench-language works237,207