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Record W2079162285 · doi:10.1080/00908320903285398

Governance of Marine Protected Areas in East Africa: A Comparative Study of Mozambique, South Africa, and Tanzania

2010· article· en· W2079162285 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOcean Development & International Law · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTanzaniaMarine protected areaCorporate governanceEcoregionMarine conservationCitizen journalismEnvironmental planningGeographyPolitical scienceEnvironmental resource managementBusinessEconomicsEcology

Abstract

fetched live from OpenAlex

Marine protected areas (MPAs), including MPA networks, have become an indispensable tool for marine conservation. This article undertakes a comparative discussion of the domestic governance frameworks of Mozambique, South Africa, and Tanzania in view of the efforts of these three states to scale up their MPA cooperation in the East African Marine Ecoregion (EAME) to include MPA networks, including transboundary MPAs. Although on many issues there appears to be regional solidarity and convergence on principles, including participatory processes and decision making to guide MPA making, there are significant differences on lead roles, institutional structures, access to public information, and conflict management, among others, which would need to be factored in MPA cooperation. Other important factors for regional MPA cooperation include policy directions on shared concerns such as conservation and development values with emphasis on equitable resource use and poverty alleviation.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.212
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it