IS SUPPORT FOR INTERNATIONAL CLIMATE ACTION CONDITIONAL ON PERCEPTIONS OF RECIPROCITY? EVIDENCE FROM SURVEY EXPERIMENTS IN CANADA, THE US, NORWAY, AND SWEDEN
Bibliographic record
Abstract
The challenges of collective action are presented by leaders in many industrialized countries as a major obstacle to effective action on climate change. Notably, the argument goes, a fair international solution must appropriately constrain large greenhouse gas emitters like China. This paper asks whether citizen support for multilateral climate policies also depends on whether other countries are seen to reciprocate. We analyze results from population-based survey experiments in the US, Canada, Norway, and Sweden, asking subjects whether they think their country should commit internationally to emission reductions. Randomly assigned sub-samples were presented with statements suggesting that China may or may not choose to cooperate, or alternatively making no mention of China. We find that reciprocity is important to respondents in the smaller Scandinavian countries but not in North America. These findings suggest that country size is more important than national traditions of multilateral cooperation in predicting support for unilateral climate action.
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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 | 0.014 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".