Voices of Nature: Narrative Diversity and Ecological Awareness in Contemporary Canadian Short Stories
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article argues that three voice strategies in contemporary Canadian eco-stories-collective we-narration (Gartner), figural animal focalization (Bone), and omniscience inflected by oral address (Maracle)-activate distinct pathways of narrative empathy (attention re-calibration, perspective-switching, metaphorical reframing).Bridging ecocriticism and narrative theory, I show how these forms redistribute agency to nonhuman actants while exposing the affordances and risks of anthropomorphism.Close readings demonstrate that Gartner's satirical collective voice performs de-anthropocentrization, Bone's alternating figuration stages cross-species identification within unequal power regimes, and Maracle's you-address and cyclical temporality enact relational resurgence.I conclude by outlining how such voice-driven designs move readers from elegiac "environmental loss" toward pedagogies of care and repair.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it