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Record W1617696049

Anthologies and the Canonization Process: A Case Study of the English-Canadian Literary Field, 1920-1950

2000· article· en· W1617696049 on OpenAlexvenueaboutno aff
Peggy Kelly

Bibliographic record

VenueStudies in Canadian Literature · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupNationalismInternationalism (politics)CurriculumGender studiesRace (biology)SociologyHistoryLiteratureAestheticsPolitical scienceArtPedagogyLawPoliticsAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Editors of anthologies and literary histories have enormous influence not only on the shape and content of their own projects, but also on the shape and content of the traditional curricular canons. However unique and fascinating the 1920 to 1950 time period is, it also resembles other historical moments in Canada through its practice of systemic discrimination on the bases of class, race, sex, and ethnicity. These systemic biases affected the choices made by publishers, editors, and curriculum developers. Their politically based decision-making perpetuated the distinctly Anglo-Saxon, white, and masculine traditional canon that had been developing since the arrival of European settler-invaders. The forty-eight anthologies that make up this study fall into two main groups: anthologies produced by individual editors and anthologies produced by associations. Not only do the academic-professional anthologies include fewer women, they allow even less space to their women writers than is implied by the male-female ratio of their choices. Within this group of English-Canadian anthologies, the ethnicity of Canadian writers is virtually ignored. While nationalist sentiments appear in both association and academic-professional anthologies, internationalism is restricted to the academic-professional group.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.010
GPT teacher head0.276
Teacher spread0.265 · 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 designQualitative
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

Citations1
Published2000
Admission routes2
Has abstractyes

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Same venueStudies in Canadian LiteratureSame topicCanadian Identity and HistoryFrench-language works237,207