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Record W4363609126 · doi:10.4236/als.2023.112005

Freedom on the Frontier: Sharon Butala’s Novel <i>Wild Rose</i> as Existential Autofiction

2023· article· en· W4363609126 on OpenAlexaboutno aff
Dallas Harrison

Bibliographic record

VenueAdvances in Literary Study · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsExistentialismFrontierAnguishRose (mathematics)PhilosophyReligious studiesLawPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

In Wild Rose (2015), the seventh novel by Canadian prairie author Sharon Butala, the protagonist—young wife and aspiring homesteader Sophie Hippolyte—expresses profound anguish, rejection of upbringing and religion, and headstrong desire to remake herself on the prairie frontier of southwestern Saskatchewan in the mid-1880s. The novel marks a turn in Butala’s fiction toward atheistic existential philosophy, a progression from a questioning to a rejection of organized religion and an emphasis on complete freedom. This turn was prompted by her suffering and questioning as Butala dealt with the rather sudden death of her husband, the loss of her way of life on, and intimate connection with, the prairie landscape, and the need to remake herself. Indeed, Wild Rose can be considered “existential autofiction” in which Butala fictionalizes her experience of loss and her rejection of religion (specifically Catholicism) via Sophie, one of her most resilient characters, who seeks freedom on the frontier.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0140.015
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.284
Teacher spread0.252 · 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
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
Published2023
Admission routes1
Has abstractyes

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