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Record W1507778724 · doi:10.7202/1062354ar

Island Ecology and Early Canadian Women Writers

2019· article· en· W1507778724 on OpenAlexaffvenueabout
Wanda Campbell

Bibliographic record

VenueStudies in Canadian Literature · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsAcadia University
Fundersnot available
KeywordsWildernessAnthropocentrismMotif (music)Trope (literature)EcocriticismMetaphorPoetryHistoryEcologyMAGIC (telescope)SisterEnvironmental ethicsSociologyLiteratureArtPhilosophyAestheticsAnthropology

Abstract

fetched live from OpenAlex

The island, and the fresh water island in particular, is a recurring motif in the work of early Canadian women writers. Using an eco-critical perspective to explore Susan Frances Harrison’s short story “The Idyl of the Island” (1886), Marjorie Pickthall’s short story “On Ile de Paradis” (1906), and Katherine Hale’s long poem, “The Island (Experiment in Magic)” (1934), as well as “island” lyrics by all three authors, we discover tentative but compelling expressions of nature as a place of ambiguous potential and power, depending on the attitude and actions of those who approach it. Focusing as they do on the interaction between human beings and nature, the island texts of early Canadian women writers may be more anthropocentric than biocentric, but they are nonetheless illuminated in the light of three areas of concern in the field of island biogeography: colonization, competition, and trophic cascade. Nature as a virgin to be violated has been a longstanding trope of masculine writing about the wilderness, but Harrison, Pickthall, and Hale point us instead in the direction of nature as mother and sister. In their work, the island conveys an unforgettable message—that it is folly for us to believe we can conquer nature, come to her unprepared, or expect to separate ourselves from her fate.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.120
Threshold uncertainty score0.871

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0620.028
Scholarly communication0.0120.003
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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
Published2019
Admission routes3
Has abstractyes

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