Implied threats of the Red Sea crisis to global maritime transport: amplified carbon emissions and possible carbon pricing dysfunction
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
Abstract Recent military acts in the Red Sea and Gulf of Aden are forcing merchant ships to reroute, thereby driving up international shipping rates, prolonging delivery dates, and causing additional greenhouse gas emissions. Utilizing the European Union (EU) Monitoring, Reporting, and Verification emissions database and real time Automatic Identification System data, this study conducted frequency analysis and causative investigation on container ships circumnavigating the Cape of Good Hope. The findings indicate that the current policy framework under the EU Emissions Trading System (EU-ETS) poses a higher risk of carbon leakage, particularly for medium and small-sized container ships, thereby undermining the effectiveness of the nascent EU maritime carbon pricing. If the crisis continues, combined with anticipated tighter emission regulations, this risk is expected to escalate. International maritime policy administrators should make timely adjustments in response to the chain reactions caused by war, enhancing the robustness of cross-regional carbon pricing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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