Climate Ethics and Intergenerational Reciprocity in Indigenous Philosophies
Bibliographic record
Abstract
The chapter proposes a concept of justice for future people that is mindful of Indigenous critiques of the Anthropocene and associated climate horror scenarios. I first review these critiques, which suggest that motivating pro-futural care by dreading an impending climate crisis tends to betray a privileged, often settler-colonial perspective. On this basis, I then review various Indigenous accounts of intergenerational relations, in which I find one common idea in the claim that present generations owe to descendants in part because they received a gift from ancestors. I seek to model and defend this view and its social ontology (I call it “asymmetrical reciprocity”). I then seek to show how asymmetrical reciprocity can help to decolonize the future by disallowing a linear view of time according to which a focus on the future permits the neglect of the past. Hence, climate ethics and intergenerational justice must face the history of colonialism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".