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Record W57388746

"Why I haven't written/and why I write" : class, Tory progressivism, and feminism activism in rural Ontario literature

2009· dissertation· en· W57388746 on OpenAlexaboutno aff
Jennifer L. Baker

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsModernityIdeologyProgressivismGender studiesSociologyFeminismPostmodernismContext (archaeology)AestheticsPoliticsHistoryArtPolitical scienceLiteratureLaw
DOInot available

Abstract

fetched live from OpenAlex

Canadian Modernism and modernity have had profound effects on how Canadian literary scholars approach rural Ontario literature, rural class systems and rural Ontario feminist practices. In fact few rural Ontario writers are widely studied in a regional context. Instead, the focus for writers like Nellie McClung and Emily Ferguson remains rooted in explorations of their achievements for suffrage in the West, while study of Ontario's Christian Social Activist writers like Ralph Connor and Marian Keith have largely fallen out of favour because their religious convictions seem antiquated in a modern context. However, these authors are still important in terms of establishing cultural continuity with more contemporary rural Ontario writers like Alice Munro, Al Purdy, Phil Hall, and the undeservingly neglected George Elliott. These more contemporary works are concerned with the tangible effects of modernist thought and modernity on rural Ontarians' understanding of their own subjectivities. Instead of evolving a culture that is coherent with their transatlantic and settler histories, they have been forced to deal with the cultural void left by the emergence of Canadian modernism by adopting symbolic stereotypes of rural culture imposed by urban instruments of marketing and mass cultural production. These products of the "symbolic rural" lift the cultural implications of the rural from its specific ties to place and history, constructing false generalizations about class and gender identities that can fit cleanly into the predominantly urban context of modernist ideologies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.014
GPT teacher head0.261
Teacher spread0.248 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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