Memory Carriers and Intergenerational Kinship in Indigenous Climate Change Fiction Alexis Wright’s <i>The Swan Book</i> (2013) and Cherie Dimaline’s <i>The Marrow Thieves</i> (2017)
Bibliographic record
Abstract
The concept of anthropogenic climate change, in its most simplistic interpretation, implies that all humanity is collectively responsible for the present threats to planetary sustainability. This unquestioned discourse of collective responsibility also facilitates frames of understanding that isolate older generations and burden them as a whole, blaming them for the construction of a life model that has led to the present crisis, a discourse challenged by postcolonial and environmental justice literature and in particular by Indigenous fiction. A discussion of two novels, The Swan Book (2013) by the Waanyi Australian writer Alexis Wright, and The Marrow Thieves (2017) by the Métis Canadian writer Cherie Dimaline, scrutinises how they create alternative frames presenting older adults in scenarios of environmental devastation as carriers of memory that are agents in the construction of the spirit of resilience and resistance of young characters.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.027 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".