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Record W2590404259

Taking Stock, Reprise

2016· article· en· W2590404259 on OpenAlexaffvenueabout
Aritha van Herk

Bibliographic record

VenueStudies in Canadian Literature · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRepriseStraddleConformistHistoryStock (firearms)LiteratureSociologyMedia studiesAestheticsLawArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This essay examines the 1978 Calgary Conference on the Canadian Novel, and the publication that emerged from it entitled Taking Stock , as a moment that distills the ongoing tabulation of Canadian literature in various lists and inventories that seek to identify and anoint significant works. It focuses on two speakers at that conference, Robert Kroetsch and Marian Engel, as examples of major writers who are still read but who are gradually disappearing from contemporary cultural awareness, despite their important contributions to the development of the Canadian canon. Engel and Kroetsch participated in an important moment in Canadian literary history; Engel’s Bear and Kroetsch’s The Studhorse Man embody a sense of what Canadian literature aspired to, but those works also foreshadow the evolution of Canadian fiction. Their authors straddle the penumbra of the last forty years, and how Canadian literature bloomed, matured, and now seems to withdraw not from its continuing bravura performance in the global literary world, but from its own memory and recognition of those early pathfinders. Their works speak to the paradox of Canadian writing as ironically unaware of its own invention.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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.

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
Published2016
Admission routes3
Has abstractyes

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