Bibliographic record
Abstract
This book explores the private law implementation of the new international and EU regulatory framework targeting decarbonisation in the shipping industry. Compared with other sectors, the shipping industry has traditionally been labelled a ‘slow mover’ concerning the sustainability agenda. However, new regulatory measures on carbon reduction both internationally and in the EU require fundamentally new developments in the industry. This book focuses on the goal of carbon reduction from a private law perspective and considers how the new regulatory framework can be implemented in the shipping industry. This book studies existing contractual provisions in charterparties and bills of lading alongside new contractual model clauses designed to facilitate carbon reduction. It considers how the new clauses should be interpreted, whether they will transform traditional shipping contracts into more collaborative contracts, and how they will interact with other clauses in the contract and with other contracts in the supply chain. The contractual analysis is considered in context, reflecting on enforcement issues, such as Port State Control (PSC), the Poseidon Principles, and climate change litigation. The book also analyses the related topic of shipping contracts for carbon storage as a necessary means of meeting carbon reduction targets. The book is intended to pave the way for understanding how core shipping contracts can work in this new context and the extent to which the new types of clauses will profoundly transform contracts. It presents contributions by experienced and younger academics and practitioners from Asian, European and Scandinavian legal systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".