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Record W657298493

A Card From Angela Carter

2012· book· en· W657298493 on OpenAlexaboutno aff
Susannah Clapp

Bibliographic record

VenueMedical Entomology and Zoology · 2012
Typebook
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOutrageArt historyPerformance artHistoryArtFantasyPoliticsLiteratureMedia studiesSociologyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Angela Carter was one of the most vivid voices of the twentieth century: much studied, copied and adored. When she died at the age of fifty-one, she had published fifteen books of fiction and essays; outrage at her omission from the shortlists of any Booker Prize led to the foundation of the Orange Prize. February 2012 will be the twentieth anniversary of her death but no biographical work has yet appeared. Susannah Clapp and Angela Carter were friends for years. The postcards that Carter sent to her form a paper trail through her life. The pictures she sent were sometimes domestic, sometimes flights of fantasy and surrealism. The messages were always pungent. From Stratford, Ontario, she explained that Canada was 'like Scandinavia, with liquor'. From the States, where she was smarting from a critical onslaught in the London Review of Books, where Susannah then worked, she sent a terrifying picture of Texan chili, with the message: 'Carter's reply to the critics ...goes through you like a dose of salts ...I'd liked to feed it to that drivelling wimp...' Through the medium of her postcards - small documents that are the emails of the twentieth century - Susannah Clapp will evoke Angela Carter's anarchic intelligence, her fierce politics, the richness of her language, her ribaldry, the great swoops of her imagination; she will also say something about her life. Intimate, funny, unexpected, it will catch this unique artist on the wing.

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 categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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
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

Citations2
Published2012
Admission routes1
Has abstractyes

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