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Speaking in ‘I’: The Interface of Theory and Autobiography in Nicole Brossard’s Life Writing

2011· article· en· W1685085580 on OpenAlexaffabout
Eva C. Karpinski

Bibliographic record

VenueLiterature Compass · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicAutobiographical and Biographical Writing
Canadian institutionsYork University
Fundersnot available
KeywordsSubjectivityBiographyLife writingSubject (documents)LesbianPoliticsPoetryLiteratureSociologyGender studiesPsychologyHistoryPsychoanalysisArtPhilosophyEpistemologyComputer scienceLawPolitical science

Abstract

fetched live from OpenAlex

Abstract Nicole Brossard’s ‘fiction theory’, that is, her language‐focused, experimental prose and poetry, has influenced feminist writing in Quebec and English Canada. This article examines Brossard’s inscriptions of radical lesbian subjectivity at the interface of theory and autobiography, focusing on two texts from the mid‐1980s, which can be classified as life writing. By examining The Aerial Letter and Intimate Journal side by side, the author compares different uses and functions of the autobiographical ‘I’ in the service of theory‐making. The Aerial Letter reveals the collective, politicized ‘I’ that assumes an anti‐patriarchal stance working towards establishing a women’s community. On the other hand, Intimate Journal exposes ‘I’ as a fiction of the autobiographical subject displaced between the phenomenological, living body and the published ‘version’ of this body in writing. While remaining loyal to a feminist politics of the personal as political, Brossard’s écriture au féminin explores the subject as fractured and refracted in discourse.

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)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0190.045
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.249
Teacher spread0.224 · 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".

Quick stats

Citations1
Published2011
Admission routes2
Has abstractyes

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