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THE ECONOMY OF CONTEMPORARY, CANADIAN POETRY: GENDER IN PERSPECTIVE?

2012· article· en· W2151265473 on OpenAlexaboutno aff
Gisele Giandoni Wolkoff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryCanadian literatureHumanitiesArtLiterature

Abstract

fetched live from OpenAlex

Este artigo assinala a principal tendência seguida na poesia contemporânea canadense escrita por mulheres, a partir da obra Survival: A Thematic Guide to Canadian Literature, de Margaret Atwood, e aponta considerações a serem revisitadas nos estudos da poesia, particularmente nos relativos àquela produzida na transculturalidade canadense de um mundo globalizado, dos anos 1970 em diante.Résumé: Cet article signale la principale tendance suivie par la poésie canadienne contemporaine, écrite par des femmes, à partir de l’œuvre de Margaret Atwood Survival: A Thematic Guide to Canadian Literature et suggère quelques considérations à revisiter dans les études de poésie, particulièrement dans celles qui ont trait à la poésie produite dans l’atmosphère transculturelle du monde globalisé à partir de 1970.Mots-clés: poésie canadienne; voix féminines; monde globalisé.Abstract: This article points out to the main tendency followed in contemporary, Canadian poetry written by women, from the publication of Margaret Atwood’s work Survival: A Thematic Guide to Canadian Literature and brings up some considerations to be revisited in the studies of poetry, particularly related to that produced in the Canadian transcultural atmosphere of the global world from the 1970’s on.Keywords: contemporary Canadian poetry; women’s poetry; transcultural poetry.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.107
Threshold uncertainty score0.777

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.013
Science and technology studies0.0370.053
Scholarly communication0.0240.006
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.254
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; 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

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