Bibliographic record
Abstract
ISLE 31.1 opens with Emily McGiffin’s “Raced and Erased: Settler Colonialism and Environmental Violence in the Poetry of Jordan Abel,” the Editor’s Choice for this issue. McGiffin argues that “the structures and institutions of settler colonialism, including residential schools that have profoundly affected Abel’s life and work, support an ongoing process of environmental violence and environmental racism.” “In examining the politics and representational strategies of Abel’s poetry,” specifically erasure and bricolage, McGiffin discusses “how his work brings into focus the human and environmental violences whose legacies and current enactments continue to shape life in colonial Canada.” Sarah Hopkinson, in “Talking Trash: Jesmyn Ward’s Salvage the Bones and the Timescape of Disaster,” examines how “the devastated landscapes in this novel present disaster not as spectacular event but rather as persistently inhabited space.” By moving beyond the oppressive discourse of the spectacular disaster narrative, Hopkinson argues, “Ward’s Salvage the Bones makes visible past acts of violence normatively hidden by time, while also unearthing alternative kinship networks from the detritus—and trash—of racial capitalism.”
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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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.207 | 0.126 |
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".