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Record W2947531703 · doi:10.5539/jpl.v12n2p23

The Balanced Obligation and the Basis for Compliance in International Law: Reflections on the Question of International Obligation

2019· article· en· W2947531703 on OpenAlexvenueno aff
Thomas Prehi Botchway

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsObligationInternational lawState responsibilityTreatyLawConventionPolitical scienceNexus (standard)Municipal lawPopulationLaw and economicsEconomicsSociologyEngineering

Abstract

fetched live from OpenAlex

In this essay, we use the implementation of multilateral environmental agreements (MEAs) in developing countries (specifically, the implementation of the Convention on Biological Diversity in Ghana) to illustrate why and how States can implement international agreements and for that matter comply with international law without necessarily compromising on equally implementing effective policies to meet their domestic responsibility, particularly when such MEAs may be deemed by some as instruments that curtail the enjoyment of benefits from a State’s natural resources and endowments. The essay examines the nexus between compliance with international law (international obligation) and meeting domestic responsibility (particularly when the international treaty or agreement to be complied with seems to have some negative implications for the domestic population or State policy). Do States always have an incentive to comply with and execute their international obligations? Should the need for or argument against an international agreement or treaty necessarily lead to its abandonment by States? Can States effectively balance the execution of international obligation with meeting domestic responsibility? Should the effective implementation of a State’s international obligation be regarded as a zero sum for the State’s domestic responsibility? What should be the basis for compliance in international law? These are some of the few questions that this essay seeks to address.

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)0.037
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.123
Scholarly communication0.0170.036
Open science0.0030.013
Research integrity0.0200.030
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.366
Teacher spread0.336 · 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 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

Citations7
Published2019
Admission routes1
Has abstractyes

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