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Record W2956195198 · doi:10.7202/1061861ar

Bleuets et abricots : la femme-territoire de Natasha Kanapé Fontaine

2019· article· fr· W2956195198 on OpenAlexaffvenue
Joëlle Papillon

Bibliographic record

VenueÉtudes littéraires · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Cet article analyse l’écopolitique mise de l’avant dansBleuets et abricots(2016) de la poète innue Natasha Kanapé Fontaine. Cette oeuvre constitue un point d’entrée remarquable pour comprendre la dimension poétique et politique de l’engagement environnemental de l’auteure, qui s’exprime d’une part à travers une identification forte entre une femme autochtone et un territoire qu’elle revendique comme sien, et d’autre part par l’inscription du territoire comme un Autre avec qui une relation tendre est engagée. Cette relation prend tour à tour les contours d’un rapport de parenté, d’un rapport maternel et d’un rapport amoureux. Enracinée dans son territoire, la locutrice parvient à articuler sa lutte décoloniale en présentant les femmes et les territoires autochtones comme survivant(e)s et, ultimement, indestructibles.

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)0.001
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 score0.130
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.275
Teacher spread0.250 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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Same venueÉtudes littérairesSame topicFrench Urban and Social StudiesFrench-language works237,207