MétaCan
Menu
Back to cohort
Record W2339054412 · doi:10.1057/9781137413901_8

Québécois Literature and American Literature

2014· book-chapter· en· W2339054412 on OpenAlexaboutno aff
Jean Morency

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDistrustEliteFeelingMythologyPopulationSettlement (finance)SociologyHistoryGender studiesPolitical sciencePsychologySocial psychologyClassicsLawPoliticsDemography

Abstract

fetched live from OpenAlex

Since its settlement in New France, the French-speaking population of Canada has maintained a close but ambiguous relationship with other, English-speaking population groups on the American continent. These relations have been characterized not only by feelings of intense attraction, especially among the working class and lower classes of society, but also by a certain distrust that may be gleaned in the discourse of the elite, as the work of historians Gérard Bouchard (2000), Yvan Lamonde (2001), and Paul-André Linteau (2000) show. Their studies reveal the similarities between Québécois and other New World communities on the continent, as well as the numerous links that connect the Québécois and American cultures. In the same way, the close resemblance between the Québécois literary imagination and its American counterpart has been explored in research on the myth of America (Morency 1994) and on the "intérieurs du Nouveau Monde" (interiors of the New World). 1 Despite the clear profile we have of these tendencies, there remains, however, a lack of detailed analysis of the ways in which Québécois writers have become aware of and in some cases familiar with American literature and have drawn inspiration from it.KeywordsAmerican CultureLiterary WorkAmerican LiteratureLiterary ImaginationCultural ReferenceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.215
Teacher spread0.207 · 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 designTheoretical or conceptual
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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan US eBooksSame topicCanadian Identity and HistoryFrench-language works237,207