On the acceptance of intergenerational climate legacies: A comparison of Canada and Japan
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
Intergenerational climate justice negotiations often flounder on three questions: What was the outcome on climate change? Was it intentional? Why should the current generation pay for the misdeeds of previous generations? In this research, participants from Japan and Canada rated their willingness to accept intergenerational climate legacies and the responsibilities these legacies entail; judged the importance of intent and outcome associated with creating these legacies; and rated their willingness to compensate those negatively impacted by previous generations. The study found: a) while outcome was important, intent did not matter; b) Canadians were more likely to accept an inheritance and c) more likely to equivocate, in acceptance, if it entailed obligations than the Japanese; d) among those who accepted the inheritance, Japanese were more generous in settlement of previous generation’s obligations; e) lower-income, non-Judeo-Christian participants were systematically fairer than others; and f) the resistance to compensation for past generations’ actions was diminished with the awareness about the broad scope of intergenerational climate legacies that the current generation enjoyed. Our findings highlight the influences of culture and historic awareness on accepting climate responsibilities for actions of previous generations and willingness to provide compensation. The findings also support abandoning the debate on intentionality.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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