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Record W1599695846

Ravines and the Conscious Electrified Life of Houses: Margaret Atwood’s Suburban Künstlerromane

2011· article· en· W1599695846 on OpenAlexvenueaboutno aff
Cheryl Cowdy

Bibliographic record

VenueStudies in Canadian Literature · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityPoliticsGender studiesCONTESTRepresentation (politics)Space (punctuation)WildernessAestheticsSociologyUnconscious mindMeaning (existential)Trope (literature)ArtPsychoanalysisLiteraturePsychologyEpistemologyPolitical sciencePhilosophyLinguisticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Margaret Atwood examines the meaning of time and space for the female Canadian artist coming of age in postwar suburbia in her Kunstlerromane , Lady Oracle (1977) and Cat’s Eye (1989).  Set in Toronto, both texts foreground the epistemological instability of the wilderness/urban binary through the trope of the ravine. They posit ravines as dark, hidden, repressed spaces associated with the unconscious and with the liminal space of childhood and adolescence. In their representation of young female artist characters, the novels contest the denigration of the autobiographical as they suggest the creative potential of a space most often associated, socially and culturally, with sterility. Both texts articulate a political vision in which young women refuse to be confined to spaces of domesticity, reflecting the “outsider-within stance” described by Gillian Rose in her understanding of feminist politics as paradoxical space.

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: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0370.023
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.242
Teacher spread0.189 · 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

Citations1
Published2011
Admission routes2
Has abstractyes

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