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Record W4412897835 · doi:10.1515/9780228025207

Between the New Country and the Old World

2025· book· en· W4412897835 on OpenAlexaboutno aff
Erin E. Edgington

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2025
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHistory

Abstract

fetched live from OpenAlex

Poet and provocateur William Chapman (1850–1917) wrote patriotic verse recounting the history of New France, envisioning a glorious future for its descendants. Despite his many literary achievements – he was a two-time laureate of the Académie française and a nominee for the Nobel Prize in Literature – Chapman is more often remembered for his explosive feud with Louis Fréchette, a rivalry that pitted the two national poets against one another and played out in vicious invective across the pages of Quebec newspapers. Chapman’s lifelong quest to glorify French Canada and accumulate literary prestige in North America and Europe positioned him squarely between the new country and the old world. Over the course of his forty-year career, Chapman published five collections of poetry – Les Québecquoises (1876), Les Feuilles d’érable (1890), Les Aspirations (1904), Les Rayons du Nord (1909), and Les Fleurs de givre (1912) – whose very titles underscore his devotion to French-Canadian identity, as well as his literary ambition. Integrating close readings of Chapman’s verse with archival material related to his writing life, Erin Edgington revisits his full oeuvre on its own terms and in context, discerning the particular ways Chapman expressed the ideas of literary value and national literature that motivated him from a young age, from juvenilia like Les Mines d’or de la Beauce (1881) to his polemical essays and his unfinished magnum opus, L’Épopée canadienne . Between the New Country and the Old World challenges the prevailing narrative that has labelled Chapman a second-rate, forgettable poet, showing how his life and work reveal important insights into literary fame, poetics in a transitional moment at the turn of the century, and the history of French literature in North America.

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: none
Teacher disagreement score0.910
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.024
Scholarly communication0.0130.007
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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