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Record W4307167875 · doi:10.14201/candb.v11i95-113

The Plants are Plotting: Political Orders in Ostenso’s Wild Geese

2022· article· en· W4307167875 on OpenAlexaff
Janice Vis

Bibliographic record

VenueCanada and Beyond A Journal of Canadian Literary and Cultural Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsColonialismAgency (philosophy)PoliticsPlot (graphics)Articulation (sociology)Power (physics)State (computer science)SociologyEnvironmental ethicsPolitical scienceLawPolitical economySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

This article attends to non-human agency and plant communities in Martha Ostenso’s 1925 novel Wild Geese. As non-humans shape the novel’s setting and plot, they are entwined with human action but not subordinated to human agency or political systems; on the contrary, plant communities are political forces who ally, resist, and clash during the implementation of European agricultural practises in the early twentieth century. Thus, the setting details of this CanLit novel can be repurposed to think about the possibilities of community beyond colonial control. This article begins by drawing on Vanessa Watts’ articulation of ecosystems-as-societies as a framework for plant agency. It then follows Margret Boyce’s eco-critical engagement with Wild Geese to examine how the farm’s monocrops are connected to, but not determined by, the heteropatriarchal family and the colonial state. Further, by considering how homoeroticism emerges against colonial heteropatriarchy in non-agricultural settings, queerness is shown to pre-exist and resist the organizing tendencies of settler colonialism. Finally, this article turns to non-human alliances in the novel’s finale to demonstrate the ongoing struggle between political powers. To grapple with colonialism and its legacies, non-human agency and political power must also be recognized.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.276
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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanada and Beyond A Journal of Canadian Literary and Cultural StudiesSame topicGeographies of human-animal interactionsFrench-language works237,207