Toward a Social Science Research Agenda for Large Marine Protected Areas
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 Large marine protected areas (LMPAs) are a high‐profile trend in global marine conservation. Although the social sciences have become well integrated into marine protected area research and practice, human dimensions considerations have not been an early priority in the development of many LMPAs. This article argues that because LMPAs exhibit unique characteristics in form, function, and/or conceptualization, they warrant a distinct social science research agenda. We outline an agenda for social science research on and for LMPAs in four related themes: scoping of human dimensions, governance, politics, and social and economic outcomes. The article is informed by interviews, participant observation at the 2014 World Parks Congress, a literature review and the authors’ research experiences. LMPAs are at an early stage in what promises to be a globally significant, long‐term project of ocean conservation and governance. There is a timely opportunity to translate relevant insights from decades of social science research to LMPAs and generate new knowledge, where necessary, to give them their best chance at biological and social success.
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 | 0.001 |
| 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 | 0.001 |
| 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