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Record W3124182449

The Protection of the Marine Environment from Land-Based Pollution and Activities: Gauging the Tides of Global and Regional Governance

2008· article· en· W3124182449 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

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsFisheries and Oceans Canada
FundersGlobal Environment Facility
KeywordsDocumentationEnvironmental planningCorporate governanceMarine pollutionEnvironmental resource managementPollutionEnvironmental protectionBusinessPolitical scienceEnvironmental scienceEcologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

After providing an introductory overview of the major land-based threats to the marine environment, this article focuses upon the specific global and regional efforts to address land-based marine pollution and activities through a four-part survey. The main international initiative is first described, namely, the Global Programme of Action for the Protection of the Marine Environment from Land-based Activities (GPA). Progress in GPA implementation is next assessed with an emphasis on the documentation and results from the Second Intergovernmental Review Meeting on Implementation of the GPA held in October 2006. Major challenges constraining GPA implementation are then summarized, including limited national participation, limited financing, and limits of a non-legally binding approach. Finally, regional agreements and initiatives to counter land-based marine pollution and activities are reviewed. Progress and challenges in GPA implementation at the regional seas level are highlighted.

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 score0.028
Threshold uncertainty score0.993

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.178
Teacher spread0.171 · 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

Quick stats

Citations29
Published2008
Admission routes1
Has abstractyes

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