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Record W2061118762 · doi:10.3366/e0954889008000145

THE MARITIME ZONES OF EAST AFRICAN STATES IN THE LAW OF THE SEA: BENEFITS GAINED, OPPORTUNITIES MISSED

2008· article· en· W2061118762 on OpenAlexaff
Aldo Chircop, David M. Dzidzornu, José Guerreiro, Catarina Grilo

Bibliographic record

VenueAfrican Journal of International and Comparative Law · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsUnited Nations Convention on the Law of the SeaConventionFreedom of navigationPolitical scienceLaw of the seaExclusive economic zoneGeographyState (computer science)Maritime boundaryInternational lawLawInternational tradePublic international lawBusiness

Abstract

fetched live from OpenAlex

The United Nations Convention on the Law of the Sea, 1982 (LOS Convention) has been in force since 16 November 1994 and on 10 December 2007, it will be a quarter century since its adoption in Montego Bay, Jamaica. Many African coastal states were among the most active supporters of a new international law of the sea. Indeed, they pre-empted the adoption and entry into force of the LOS Convention by claiming the national maritime zones and jurisdictional benefits conferred by that instrument. For many of those states, the LOS Convention constituted an opportunity to break away from their colonial past and to engage in a new kind of regime-building expected to contribute to the economic and social advancement of all peoples, effectively a new international economic order. The ocean space and marine resources adjacent to the coastal state were perceived as constituting an opportunity to further national economic development. East African states, in particular Kenya and Tanzania, were among the most active in developing a new framework for national maritime zones and the type and extent of authority enjoyed therein by coastal states, and to a much lesser extent, by land-locked states. Twenty-five years hence, it is appropriate to enquire how African states, and in particular East African states, have legislated the maritime zone claims permissible under the LOS Convention to maximise their entitlements while being compliant with the new legal framework. At the time the LOS Convention

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.558

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.061
GPT teacher head0.248
Teacher spread0.187 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2008
Admission routes1
Has abstractyes

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