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Record W2584280756 · doi:10.4000/caliban.2027

Strong Women among ‘The Defenseless Christians’ : la place des femmes dans les romans mennonites Sweeter than all the World de Rudy Wiebe et A Complicated Kindness de Miriam Toews

2010· article· en· W2584280756 on OpenAlexaboutno aff
Claire Omhovère

Bibliographic record

VenueAnglophonia Caliban/Sigma · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsKindnessSolidaritySociologyPathosStyle (visual arts)FeelingGender studiesFace (sociological concept)Space (punctuation)AestheticsArtPolitical scienceTheologyPhilosophyLawLiteraturePsychologySocial psychologySocial science

Abstract

fetched live from OpenAlex

Rudy Wiebe (b. 1934) and Miriam Toews (b. 1964) embody two generations of Mennonite writing in Canada. Although their works differ greatly in terms of style and content, both have written novels reflecting on the place of women in Mennonite society and their submission to patriarchal authority. This article proposes an analysis of Wiebe’s Sweeter than All the World and Toews’s A Complicated Kindness centering on the stylistic and generic strategies each novel deploys to address the topos of female victimhood. Wiebe relies on pathos to test the limits of sentimentalism and involve his readers in a community of feeling. As for Toews, she aims her wry humor at the unique apartness of the Mennonite community, using the incongruous as a discursive weapon to instill a sense of solidarity with the displaced and the marginal. Both novels are consequently fully resonant with the anxieties of a national culture that endeavors to conjugate within the same space the claims of its minorities with the ethical aspirations of an increasingly diverse majority.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.026
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.243
Teacher spread0.222 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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