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Record W4391869843 · doi:10.51644/9780889208223

Ernest Buckler

2006· book· en· W4391869843 on OpenAlexaboutno aff
Marta Dvorak

Bibliographic record

Venuenot available
Typebook
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Margaret Atwood called Ernest Buckler “one of the pathbreakers for the modern Canadian novel,” yet he has slipped into relative obscurity. This new book by Marta Dvořák, Ernest Buckler: Rediscovery and Reassessment breaks new ground in Canadian literary studies by analyzing some of Buckler’s works that have remained unknown or unexplored by critics, and by addressing the formalistic innovations of these texts. It allows a general readership to discover — and an international specialized readership to reassess — the wide, even eclectic scope of an author best known for his first novel, The Mountain and the Valley . Marta Dvořák situates Buckler firmly within his cultural and intellectual environment. She argues the importance of his connections with Emerson and the American transcendental milieu, and demonstrates his links with Romantics such as Schopenhauer and Shelley and modernists like Joyce, Faulkner, and Mansfield, as well as intellectuals from Aristotle to Aquinas. She explores his philosophical vision and his complex, adventurous relationship with language. Extracts from Buckler’s published and unpublished material juxtaposed with those from a wide range of writers (from Henry James to Foucault) offer new illuminating perspectives. The progressive structure of the book will draw readers in to discussions on shared concerns: the nostalgia for a vanished past, the relationship between family and community, the rural and the urban, or the questioning of, and coming to terms with, ethics and the social fabric of today’s rapidly changing technological horizon in which traditional values are eroding.

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: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.998

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)0.0010.003

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 head0.032
GPT teacher head0.228
Teacher spread0.196 · 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
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
Published2006
Admission routes1
Has abstractyes

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Same topicNeurology and Historical StudiesFrench-language works237,207