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Major Authors: Robertson Davies, Margaret Atwood, Michael Ondaatje

2018· book· en· W2809429683 on OpenAlexaboutno aff
Coral Ann Howells

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirTrilogyHistoryIdentity (music)Performance artArt historyGenealogyLiteratureArt

Abstract

fetched live from OpenAlex

This chapter discusses the works of three Canadian novelists best known internationally: Robertson Davies, Margaret Atwood, and Michael Ondaatje. The careers of Davies, Atwood, and Ondaatje, although overlapping chronologically, represent distinctive stages in Canada's evolving cultural traditions and publishing practices since the 1950s. Davies's novels signal the first stage in a transition from colonial to postcolonial identity in post-war Canada. Atwood in the 1970s provided the script for a Canadian cultural and literary identity separate from British and American in what Carol Shields called ‘a period of explosive patriotism’. Ondaatje's novels and family memoir epitomize the ‘refocusing and defocusing’ of Canadian literature since the 1980s, coinciding with the nation's shifts into multiculturalism and transnationalism. The chapter first provides a background on Davies, Atwood, and Ondaatje's careers before considering some of their works, including the Deptford trilogy (Davies), The Handmaid's Tale (Atwood), and The English Patient (Ondaatje).

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.400
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0130.004
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0370.012

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 head0.018
GPT teacher head0.200
Teacher spread0.182 · 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
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
Published2018
Admission routes1
Has abstractyes

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