The Politics of Ocean Governance Transformations
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
Recently, oceans have become the focus of substantial global attention and diverse appeals for “transformation.” Calls to transform ocean governance are motivated by various objectives, including the need to secure the rights of marginalized coastal communities, to boost ocean-based economic development, and to reverse global biodiversity loss. This paper examines the politics of ocean governance transformations through an analysis of three ongoing cases: the FAO’s voluntary guidelines for small-scale fisheries; debt-for-“blue”-nature swaps in the Seychelles; and the United Nations’ negotiations for a high seas’ treaty. We find that transformations are not inevitable or apolitical. Rather, changes are driven by an array of actors with different objectives and varying degrees of power. Objectives are articulated and negotiated through interactions that may reassemble rights, access, and control; however, there is also the potential that existing conditions become further entrenched rather than transformed at all. In particular, our analysis suggests that: (1) efforts to transform are situated in contested, historical landscapes that bias the trajectory of transformation, (2) power dynamics shape whose agendas and narratives drive transformational change, and (3) transformations create uneven distributions of costs and benefits that can facilitate or stall progress toward intended goals. As competing interests over ocean spaces continue to grow in the coming decades, understanding the processes through which ocean governance transformations can occur—and making the politics of transformative change more explicit—will be critical for realizing equitable ocean governance.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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