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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 OpenAlexaff
Aldo Chircop, Julius Francis, Rudy van der Elst, H. Pacule, José Guerreiro, Catarina Grilo, Gonçalo Carneiro

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2010
Admission routes1
Has abstractyes

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