Policy Transfer in Oceans Governance: Learning Lessons from Australia's Oceans Policy Process
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
This article examines policy transfer as an important mechanism for policy change in oceans governance. Since it entered into force in 1994, the Law of the Sea Convention (LOSC) has obligated signatories to demonstrate that they can effectively manage the resources within their Exclusive Economic Zones (EEZs). This article focuses primarily on the Australian response to fulfill its obligation to the LOSC through the development of Australia’s Oceans Policy (AOP), and the transfer of key policy components to Canadian and New Zealand ocean initiatives. This article argues that \ngovernment officials (or civil servants/bureaucrats) were essential agents of change who formed networks that contributed to successful policy transfer in oceans management.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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