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Record W3156102946 · doi:10.24908/iqurcp.9582

Amelia Alderson Opie (1769-1853): The Cromer Notebook and the Poetics of Revision

2018· article· en· W3156102946 on OpenAlexvenueno aff
Angela Yang Du

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsPoeticsPoetryLiteratureHistoryComposition (language)Art historyArt

Abstract

fetched live from OpenAlex

Amelia Opie’s works were well-received by her contemporary audiences, yet few critical studies of her work exist. Shelley King and John B. Pierce’s The Collected Poems of Amelia Alderson Opie is the first scholarly anthology of Opie’s poems. King and Pierce draw upon a variety of sources—archival records, published texts, primary and secondary sources—to represent the cultural and commercial complexities of Opie’s 60 years as a poet.What King and Pierce did not have access to in assembling The Collected Poems is Opie’s Cromer notebook. Housed in the Berg Collection of the New York Public Library, this document contains over 300 pages of dense composition and revision. Opie began the notebook during her stay in Cromer and likely kept it from 1791 to 1807. The notebook consists mainly of drafts of poems, many of which were published. These drafts are earlier, if not the earliest, versions of these poems.Because the notebook spans a significant portion of Opie’s career, it presents a unique opportunity to reconstruct Opie as a writer. Writing research, combining psychology, linguistics, and education, promotes great innovation in re-imagining the compositional processes of authors. I will use this research to help me to understand how Opie cognitively appraised and re-appraised her writing, producing a poetics of revision.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.002
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 head0.103
GPT teacher head0.397
Teacher spread0.295 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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