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Record W2580805041 · doi:10.5817/cejcs2005-5-7

Snapshots of the California desert, sketches of the British Columbia rainforest : an ecofeminist reading of Mary Austin's and Emily Carr's short prose

2005· article· en· W2580805041 on OpenAlexaboutno aff
Kateřina Prajznerová

Bibliographic record

VenueThe Central European journal of Canadian studies · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCarrDesert (philosophy)Reading (process)RainforestArtArt historyGeographyEcologyPhilosophyLinguisticsBiology

Abstract

fetched live from OpenAlex

Viewed from an ecofeminist perspective, three connecting points can be identified in Austin's and Carr's short prose. Firstly, both authors employ a first-person female narrator who directly addresses the reader, recording what she has experienced and inscribing the remote western regions with female presence. Secondly, this partially autobiographical narrator functions as a field guide, describing with scientific accuracy and in photographic detail the multilayered natural rhythms of the place. Thirdly, the narrator interacts with the local inhabitants, chronicling their multifaceted stories. These parallels point at the authors' shared resolve to promote conservation of non-industrialized lands, to participate in the preservation of North American native arts, and to advance the transformation of gender relations. Moreover, by stressing the geographical as well as cultural diversity of their regions, the authors redefine the boundaries of their respective national literatures and national identities.

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)0.000
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 score0.316
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.193
Teacher spread0.176 · 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
Published2005
Admission routes1
Has abstractyes

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