Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.036 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".