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Record W7132905675

She] ⟨Ha?⟩ She

2016· dissertation· W7132905675 on OpenAlexaboutno aff
Paul Andre Meyer

Bibliographic record

VenueTSpace · 2016
Typedissertation
Language
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)CriticismSightInterpretation (philosophy)The Thing
DOInot available

Abstract

fetched live from OpenAlex

This is an originary study of the work of the Canadian poet Anne Carson. It attempts to respond to an injunction she once left in a book from our university library: follow the voice (ἴμεν φάμας ὄπισθεν). The voice in Anne Carson is elusive and, as a violet in winter, likes to hide itself. In truth, it is often figured forth in the form of an absent presence. How does one follow a voice that is not there? By reading what is absent in what is present. By learning to attend to the traces that are left behind by that voice. Our thesis undertakes to read for these traces through a number of forms of attention. These include: the attention to the first work (a first work exhibits everything that is going to be written); the attention to the totality of the oeuvre (all the works of a writer coalesce under a presiding unity); the attention to the sidetext (manuscripts, abandoned works, letters, interviews, marginalia); the attention to source; the attention to the keytext, the attention to the countertext; the attention to compositional genesis; and the attention to mimetic activity. Anne Carson is a writer who trains you as you read. The following is an exercise in fractal analysis. It attempts to find in the parts of one primary text (the Canicula di Anna) structures and patterns repeating themselves at varying scales in the text under investigation as a whole and in the entire oeuvre. It is an organic and immanent form of criticism that moves from within one work and not from outside of it. It strives to read Anne Carson through Anne Carson. And to follow her voice and the chorus of voices echoing within that voice as it breathlessly discloses the desperate drama of being a self in song.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1170.006

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 head0.329
Teacher spread0.300 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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