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Record W4236008206 · doi:10.1017/ccol0521814413.008

Fiction

2004· book-chapter· en· W4236008206 on OpenAlexaffabout
Marta Dvořák

Bibliographic record

VenueCambridge University Press eBooks · 2004
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeopoliticsHistoryPoliticsPeriod (music)Assimilation (phonology)EmpireEmigrationGeographyPolitical scienceAncient historyAestheticsArtArchaeologyLaw

Abstract

fetched live from OpenAlex

Old World aesthetic codes in New World space A loosely chronological overview of Canadian literary production reveals a pattern of development that is a constant in national literatures everywhere, albeit more visible in postcolonial societies, namely an initial period of imitation or emulation of metropolitan norms, then a configuration or shift towards assimilation, and finally - in a desire to forge a distinctive national culture - a reconfiguration or revaluation of that which had been considered marginal. Writers in Canada, like those in other settler societies such as Australia, New Zealand, or the United States, have had to raise questions about authenticity, namely the suitability of employing inherited or imported literary and artistic forms for a new environment and experience. Grounded in the socioeconomic, geopolitical space of eighteenth- and early nineteenth-century imperial relations, the earliest prose texts, generated by explorers, travelers, and settlers, were products of a British empire in economic and political expansion, manifest in the huge tides of emigration to Australia and then to British North America that occurred between 1805 and 1835.

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)0.000
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 score0.234
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.003
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2340.076

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 head0.020
GPT teacher head0.181
Teacher spread0.161 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicShort Stories in Global LiteratureFrench-language works237,207