Promoting Cross-Regional\nIntegration of Maritime Emission\nManagement: A Euro-American Linkage of Carbon Markets
Bibliographic record
Abstract
Reducing greenhouse gas emissions from maritime transport\nis an\nurgent topic. Some regional emissions trading systems (ETSs), buoyed\nby the globalized market-based measures (MBMs) plan of the International\nmaritime organization, have initially assessed the feasibility of\nincluding maritime emissions under compliance obligations. However,\nincluding maritime emissions (which are interjurisdictional) in the\nexisting ETSs is controversial, and globalized maritime MBMs remain\nelusive. Therefore, this study designed a joint bilateral maritime\ncarbon market (BMCM) model based on the European ETS (EU-ETS) and\n Quebec ETS (QC-ETS). The carbon costs, speed optimization, and marginal\nabatement costs of three container routes under BMCM were analyzed.\nThe results show that this Euro-American linkage achieves adequate\nemission coverage on specific routes and generates acceptable carbon\ncosts for charterers. This study yields a positive result for the\nequal division of ETSs’ exercising competence in cross-regional\nmaritime transport and provides evidence for sector-specific ETS links\nbased on quantitative analysis.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.111 | 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 teacher head, 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".