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Record W577106934 · doi:10.5860/choice.39-1429

Rapt in plaid: Canadian literature and Scottish tradition

2001· article· en· W577106934 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceLiteratureNarrativePostmodernismPoetryMemoirMoresCriticismHistoryLiterary criticismContext (archaeology)PoliticsVictorian literatureBritish literatureArt historyArtEnglish literatureLaw

Abstract

fetched live from OpenAlex

Rapt in Plaid combines reflection, criticism and memoir to illustrate a curious and long-lasting connection between Scottish and Canadian literary traditions. Examples drawn from genres including lyric poetry, narrative romance, war fiction, children's literature, sentimental fiction, thrillers, domestic novels and short stories link Canadian writers such as John Richardson, Isabella Valancy Crawford, Sinclair Ross, Hugh MacLennan, Margaret Laurence and W.O. Mitchell to Scottish writers such as Robert Burns, Walter Scott, Thomas Carlyle, J.M. Barrie, Robert Louis Stevenson John Buchan and George Mackay Brown. A line is traced in each chapter from directly imitative nineteenth-century Canadian writers to modern Canadian works where Scottish tradition persists, sometimes transformed and sometimes distorted. Lively biographical sketches and close analysis of particular passages by Scottish and Canadian writers are set in the context of multi-cultural, narrative, postmodern and postcolonial theories. This study illuminates the way Scottish ideas and values still wield surprising power in Canadian politics, education, theology, economics and social mores. Although Professor Waterston's method is that of a literary historian, she frames each section in this new work with affectionate memories of reading, researching, and teaching Scottish and Canadian literature over a sixty year period.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.271
Teacher spread0.215 · 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 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

Citations9
Published2001
Admission routes1
Has abstractyes

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