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Record W1980072072 · doi:10.1353/nef.2014.0038

Allocution pour le Prix 2014—Conseil International d’Études Francophones: La Volatilité des sens

2014· article· fr· W1980072072 on OpenAlexaboutno aff
Nicole Brossard

Bibliographic record

VenueNouvelles études francophones/Nouvelles etudes francophones · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Une anthologie de sa poésie est parue en 2008 sous le titre D’aube et de civilisation , suivie, en 2009, de deux autres anthologies de sa poésie: Mobility of Light (Laurier Press) et Selections: The Poetry of Nicole Brossard aux Presses de l’Université de Californie. Ses livres sont traduits en plusieurs langues: anglais, espagnol, catalan, allemand, slovène, norvégien, japonais, italien, etc. En 2010, elle recevait le titre d’Officier de l’Ordre du Canada et en 2013 celui de chevalière de l’Ordre national du Québec. En 2012, la revue de l’Université du Québec à Montréal, Voix et images , a consacré un numéro à son œuvre poétique. 2013 a vu la publication de la traduction anglaise de Piano blanc (2010), de la traduction espagnole du recueil Ardeur (2008) et de la traduction catalane de Musée de l’os et de l’Eau (1999, 2009), un dossier de vingt pages sur sa poésie dans la revue grecque Teflon , ainsi qu’un livre collectif, L’Inédit des sens , préparé par Jeanine Ricouart et Roseanna Dufault sur l’œuvre de Nicole Brossard. En 2013, elle a remporté le Prix International de la littérature francophone Benjamin Fondane . Elle est aussi récipiendaire du Prix ciéf (Centre international des Études francophones) 2014 et le Petit Robert des noms propres l’accueillait récemment dans son édition de 2015. Nicole Brossard vit à Montréal.

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)0.004
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.424
Threshold uncertainty score0.852

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.010
GPT teacher head0.230
Teacher spread0.220 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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