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Record W1605603189

Lyric Scholarship in Controversy: Jan Zwicky and Anne Carson

2012· article· en· W1605603189 on OpenAlexaffvenueabout
Tina Northrup

Bibliographic record

VenueStudies in Canadian Literature · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsWestern University
Fundersnot available
KeywordsScholarshipPoetryCriticismPoliticsPsychoanalysisSociologyLiteratureAestheticsPhilosophyArtPsychologyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Counted among Canada’s most influential poet-scholars of the late twentieth and early twenty-first centuries, Jan Zwicky and Anne Carson challenge the conventional distinctions that separate classical scholarship, art criticism, philosophy, and poetry. Although seldom paired by criticis, their scholarly and creative methods are comparable, serving as examples of lyric – a term that, through Zwicky’s work especially, signifies a contemporary movement in which poets and scholars resist what they see as prescriptive and unethical programs for academic pursuit. By allowing diverse genres of research and writing to infiltrate their writings, Carson and Zwicky have helped bring the political assumptions and cultural ramifications of certain academic conventions to light. Notably, in two controversial critiques of these writers and their work, David Solway and Zach Wells implicitly attribute the lyric approach to a markedly feminine and naive intellectual stance. Particularly in the contexts provided by Carson’s and Zwicky’s writings, such perspectives betray deep-seated gender prejudices that hinder Canada’s artistic and intellectual future.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0310.016
Scholarly communication0.0130.004
Open science0.0020.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.043
GPT teacher head0.296
Teacher spread0.252 · 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

Citations2
Published2012
Admission routes3
Has abstractyes

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