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Record W1526502438

Just Like a Barrette that Claws, that Clasps, that Clips, that Cunts: metonymy, metaphor, and simile in Angela Carr’s The Rose Concordance

2013· article· en· W1526502438 on OpenAlexaffvenue
Nicole Markotić

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSimileMetonymyCarrPoetryLiteratureMetaphorArtRose (mathematics)Art historyWhite (mutation)HistoryPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Playing on the many meanings and linguistic roles of the word like, Nicole Markotic responds to Angela Carr’s poetry book, The Rose Concordance , which translates lines in the keyword index to the thirteenth-century poem Roman de la rose . Referencing canonical poems about love by William Blake, Robert Burns, Christopher Marlowe, and Gertrude Stein, Markotic moves through a discussion of contemporary poets that include Carla Harryman, Phil Hall, Susan Holbrook, and Nikki Reimer. In The Rose Concordance , Carr takes on the patriarchy of the traditional poetic address and questions the role of the female figure within such structures, the way that the body does or does not run from lyric complicity. The Rose Concordance , like Roman de la rose , proffers rose as metonymic for lover . Carr uncovers the layers of previous manuscripts that propose coupled love in a particularly pronoun-gendering way. As part of that uncovering , the concordance becomes a museum, a fine archive, a compendium, and a catalogue. In her work, Carr addresses an archival love that severs itself from lyric tradition at the very moment that it excavates itself from and burrows into that tradition.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.280
Teacher spread0.221 · 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 teacher head, not a consensus.

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

Citations0
Published2013
Admission routes2
Has abstractyes

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