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Record W584751026 · doi:10.3138/9781442676602

Law, Rhetoric, and Irony in the Formation of Canadian Civil Culture

2002· book· en· W584751026 on OpenAlexaboutno aff
Maurice Charland, Michael Dorland

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2002
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIronyRhetoricPolitical scienceSociologyLawAestheticsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

In Rhetoric, Irony, and Law in the Formation of Canadian Civil Culture, Michael Dorland and Maurice Charland examine how, over the roughly 400-year period since the encounter of First Peoples with Europeans in North America, rhetorical or discursive fields took form in politics and constitution-making, in the formation of a public sphere, and in education and language. The study looks at how these fields changed over time within the French regime, the British regime, and in Canada since 1867, and how they converged through trial and error into a Canadian civil culture. The authors establish a triangulation of fields of discourse formed by law (as a technical discourse system), rhetoric (as a public discourse system), and irony (as a means of accessing the public realm as the key pillars upon which a civil culture in Canada took form) in order to scrutinize the process of creating a civil culture. By presenting case studies ranging from the legal implications of the transition from French to English law to the continued importance of the Louis Riel case and trial, the authors provide detailed analyses of how communication practices form a common institutional culture. As scholars of communication and rhetoric, Dorland and Charland have written a challenging examination of the history of Canadian governance and the central role played by legal and other discourses in the formation of civil culture.

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 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 score0.607
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.181
Teacher spread0.165 · 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.

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

Citations25
Published2002
Admission routes1
Has abstractyes

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Same venueUniversity of Toronto Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207