The use of influential power in ocean governance
Bibliographic record
Abstract
Ensuring inclusivity, especially the meaningful participation of diverse actors, is a key component of good governance. However, existing ocean governance frameworks have not yet achieved an equitable and fair playing field and are indeed often characterized by inequitable practices. In this perspective piece, we argue that one of the reasons for this lack of inclusion are the existing power frameworks and ways in which power is exercised within fora nominally intended to foster inclusion and cooperation. By focusing on four case studies of basic ocean governance processes, we explore how influential and interactive power is exercised in intergovernmental meetings, international conferences, and regional negotiations. These case studies demonstrate how specific exercises of power that undermine procedural inclusivity influence decision-making and the setting of agendas, and exclude important voices from ocean governance fora. This perspective piece contributes to the existing literature on power by highlighting how power is exercised within fundamental aspects of ocean governance. This paper merely scratches the surface, and more actions and research are needed to uncover and, more importantly, reverse deeply-rooted and self-perpetuating power structures in ocean governance.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.008 |
| 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 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".