MétaCan
Menu
Back to cohort
Record W4377237284 · doi:10.1515/9780228000549

The Fiddlehead Moment

2019· book· en· W4377237284 on OpenAlexaboutno aff
Tony Tremblay

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2019
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMoment (physics)GeologyPhysicsClassical mechanics

Abstract

fetched live from OpenAlex

For many Canadians, the small province of New Brunswick on Canada's scenic east coast is "a nice place to visit but no place to live," plagued for generations by outmigration and economic stagnation. In The Fiddlehead Moment Tony Tremblay challenges this potent stereotype by showcasing the work of a group of literary modernists who set out to change the meaning of New Brunswick in the national lexicon. Alfred Bailey, Desmond Pacey, Fred Cogswell, and a formidable group of local poets and cultural workers - collectively, New Brunswick's Fiddlehead School - sought to restore New Brunswick's literary reputation by adapting avant-garde modernist practices to the contours of the province, opening it to the contemporary world while also encouraging writers to make it their subject. The result was a non-urban form of modernism that was as responsive to technical innovation as to the human geographies of New Brunswick. By placing New Brunswick writers and critics at the forefront of Canadian literature in the midcentury modernist project, Tremblay adds an important new chapter to our understanding of Canadian modernism. The Fiddlehead Moment is the first critical examination of this group's considerable influence. Whether through Bailey's ethnomethodology, Pacey's critical ordering, or Cogswell's editorial eclecticism in the Fiddlehead magazine and Fiddlehead Poetry Books, authors in New Brunswick, Tremblay argues, had a profound impact on writing in Canada.

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)0.005
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 score0.818
Threshold uncertainty score0.367

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0300.016
Scholarly communication0.0120.006
Open science0.0020.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0390.006

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 head0.014
GPT teacher head0.193
Teacher spread0.179 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicShort Stories in Global LiteratureFrench-language works237,207