Migrant ecocriticism : unbinding movements and spaces in anthologies of ecopoetry
Bibliographic record
Abstract
In the environmental humanities, curating ecopoetry into anthologies has been transformative in defining what ecopoetry is and the extent of its scope. Yet, ecopoetry anthologies have often un/consciously valorized the concept of “place” and, at times, legitimized the colonial standards of a Euro-American literary canon. The territorialized discourse of ecocriticism has created a deep divide in its goals for an environmental discourse beyond the academic institution. On that note, ecocriticism is also a radical and outward-looking field eager to acknowledge the gaps in its foundation, and is working towards scholarship, art, and activism that are responsive to multiple interpretations of our relationships with the “environment.” This dissertation analyses ten selected ecopoetry anthologies—Earth Shattering: Ecopoems (ed. Neil Astley); Here: Poems for the Planet (ed. Elizabeth J. Coleman); Wild Reckoning: an anthology provoked by Rachel Carson’s Silent Spring (eds. John Burnside and Maurice Riordan); Ghost Fishing: An Eco-Justice Poetry Anthology (ed. Melissa Tuckey); Open Wide a Wilderness: Canadian Nature Poem (ed. Nancy Holmes); Regreen: New Canadian Ecological Poetry (eds. Madhur Anand and Adam Dickinson); The Ecopoetry Anthology (eds. Ann Fisher-Wirth and Laura-Gray Street); Sustaining the Archipelago: An Anthology of Philippine Ecopoetry (ed. Rina Garcia Chua); Black Nature: Four Centuries of African American Nature Poetry (ed. Camille Dungy), and When the Light of the World was Subdued, our Songs Came Through (ed. Joy Harjo)—using a migrant reading practice. A migrant reading practice is a methodology that acknowledges generalized experiences and metanarratives that shape ecopoetry anthologies but insists upon the singularity of an anthology’s curation, the collated ecopoetry, and their counternarratives. Using a method of personal scholarly narratives, this dissertation argues a critical migrant reading practice as a radical method to reimagining, reconceptualizing, and reconstructing the future and value of an ecopoetry anthology in the environmental humanities to deconstruct territorialized and Euro-American concepts in ecocriticism. A Migrant Ecocriticism is a timely and compelling framework in this world of increasingly politicized and polarized migration of humans and more-than-humans across walls, seas, national borders, and the boundaries of fragmented habitats.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".