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Record W2006201494 · doi:10.3828/bjcs.2011.15

Writing the hinterland (back) into the heartland: the Franco-Canadian <i>Farouest</i> in two novels by Nicolas Dickner and D. Y. Béchard

2011· article· en· W2006201494 on OpenAlexaboutno aff
Pamela V. Sing

Bibliographic record

VenueBritish Journal of Canadian Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchHistoryForgettingReading (process)EthnologyGenealogyPolitical scienceLawLinguisticsArchaeology

Abstract

fetched live from OpenAlex

Since Quebec's Quiet Revolution, questions regarding Canada's francophonie are generally limited to Quebec, while forgetting the francophone communities located in what is known as 'English Canada'. This means that an entire component of Canada's cultural landscape tends to be ignored. This article aims to rectify that situation through the use of the heartland–hinterland concept to refer to the relationship between Quebec, considered as the heart or core of the country's francophonie, and its margins or backwoods, located in the 'rest of Canada'. A brief account of the evolution of the relationship between Quebec and Canada's other French communities will be followed by a reading of the ways two contemporary Canadian novels, Vandal Love , written in English and published in 2006, and Nikolski , written in French and published in 2007, re-imagine not only francophone Canada but also the Franco-Americas.

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)0.002
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: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.015
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.255
Teacher spread0.232 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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Same venueBritish Journal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207