Bibliographic record
Abstract
Taking as a starting point the idea that literature can function as an epistemological medium in its capacity as a testing ground where experiments in the good life can be imagined, aesthetically realized, and critically interrogated, this article turns to speculative fiction as a genre suitable for the exploration of cognitive frameworks that may lead to hopeful futurities amidst the ground-shifting transformations of the Anthropocene, supporting not only the continuity of life, but also the good life. It examines the representation of the ethics of care at the Anthropocene’s tipping point in recent speculative fiction from Turtle Island/Canada, namely, Métis Cherie Dimaline’s young adult novel The marrow thieves (2017) and its sequel, Hunting by stars (2021), and settler Canadian Rebecca Campbell’s short story cycle, Arboreality (2022). It argues that they critique the modernist nature/culture divide underpinning the disasters of the Anthropocene while reworking the notion of the good life from alternative Indigenous and new materialist relational approaches.
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.
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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.080 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".