Corporate Governance and the Environmental Politics of Shipping
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 A handful of companies dominate the world’s shipping industry. These firms have gained political leverage over the global governance of container shipping in particular. Intriguingly, in recent years the Danish conglomerate Maersk—the world’s biggest container and shipping vessel company since the mid-1990s—has been using its influence to push for higher environmental standards for the industry as a whole. To some extent these initiatives are helping to promote environmental efficiencies, cleaner fuels, and greener technology. But they are also raising costs for small and midsized companies with extremely low profit margins, further enhancing the competitiveness of the biggest shipping conglomerates in an increasingly oligopolistic market. While voluntary self-governance by companies such as Maersk is incrementally improving the environmental management of global shipping, it is also further concentrating governance power within a few transnational corporations, potentially taking more ambitious regulation off the agenda.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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