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Rhetoric in North America: Canada

2008· other· en· W4229914274 on OpenAlexaffabout
Jennifer MacLennan

Bibliographic record

VenueThe International Encyclopedia of Communication · 2008
Typeother
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRhetoricRhetorical questionDiversity (politics)PoliticsComposition (language)PhenomenonSubject (documents)CategorizationSociologyCurriculumPolitical rhetoricMedia studiesSocial sciencePolitical scienceHistoryPedagogyLiteratureLibrary scienceLawEpistemologyAnthropologyArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Rhetorical study in Canada resists neat categorization, in part because it is a relatively recent phenomenon characterized by a rich diversity of perspectives and approaches, and by a comparatively fluid conception of what it means to engage in scholarly activity in rhetoric. As an academic specialization, rhetoric emerged in Canada only in the last two decades of the twentieth century (→ Communication as an Academic Field: USA and Canada; Speech Communication, History of). Prior to the 1980s, the subject was not offered in Canadian universities; there were no communication departments where rhetoric might have been taught, and university literature departments, firmly in the belletristic tradition, disdained the teaching both of nonliterary works and of composition. However, despite the lack of institutional visibility and sanction, small numbers of individual rhetoricians found homes in professional colleges and in departments such as curriculum studies and political science, and – more rarely – in literature departments.

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)0.004
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 score0.125
Threshold uncertainty score0.906

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.012
Science and technology studies0.0190.004
Scholarly communication0.0080.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.021
GPT teacher head0.227
Teacher spread0.206 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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