Bibliographic record
Abstract
Abstract This analysis considers how education positioned at the intersections of literature and nature can help expose and confront the violence of animal agriculture. To do so, it extends from field research in London, Canada, with children who discursively and materially engaged with the story Charlotte’s Web through guided walks in an altered landscape. Once farmland and now a rapidly declining forest behind their school, this sociohistorical space is home to lingering remnants of an animal agricultural past that evoke the pastoral imagery of the novel. In combination with a place-based lens that recognizes settler-colonial agrarian legacies, the animals and interspecies relations of Charlotte’s Web offer an invitation into seeing and empathizing with farmed animals, both past and present. This analysis traces theoretical and pedagogical pathways that challenge embedded anthropocentrism and promote diverse subjective engagements with the multispecies world. Together, Indigenous ways of knowing, relational ontologies, and Derrida’s notion of hauntology can help illuminate an ethically and environmentally engaged literacy education within the Anthropocene.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.063 |
| Scholarly communication | 0.014 | 0.018 |
| Open science | 0.002 | 0.023 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".