History Repeats Itself. Next Time as Tragedy: The Ethics of Climate Adaptation for the Overshoot Generation
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
In the history of climate ethics debate, the understanding that both adaptation and mitigation policies are necessary has been quite unstable. Although a well-balanced mix of both strategies was supported in the Villach (1985) and Toronto (1988) conferences, throughout the 1980s most people favoured adaptation. This contrasts with preference for mitigation in the 1990s and early 2000s. We argue that by mid-century adaptation will be considered, again, more urgent, for most mitigation pathways to the achievement of the Paris Agreement involve a temperature overshoot. The generation living under the overshoot period, then, will probably prioritize adaptation policies, harming subsequent generations.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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