MétaCan
Menu
Back to cohort
Record W3104545536 · doi:10.22034/irlsmp.2020.109680

Localization of the Sustainable Development Goals in the Persian Gulf Marine Environment: Challenges and Opportunities

2020· article· en· W3104545536 on OpenAlexaff
Shima Naderi, Maryam Afshari, Abbas Poorhashemi, Parvin Farshchi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsCanadian Institute for International Peace and SecurityUniversité du Québec à Montréal
Fundersnot available
KeywordsSustainable developmentPersianSustainabilityEnvironmental planningBusinessProcess (computing)Environmental resource managementPolitical scienceComputer scienceGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

Localization of sustainable development goals could reasonably provide a framework to how local and regional governments meet their requirements in respective jurisdictions. Due to the importance of the environment protection in the process of the “sustainable development”, it is crucial for the states to include sustainable development goals in their regulations, laws and policies. In this perspective, presenting new approaches is utterly requested to protect the maritime environment of the Persian Gulf from destruction and degradation. Undoubtedly, there are a number of challenges and obstacles regarding the localization of SDGs in this region that the present paper will examine the strategies for addressing them. In fact, if environmental rules are internalized as a part of the domestic legal system, they will become more prominent and will be more respected. For this reason, one of the fundamental goals of this paper is to elaborate a suitable methodology to explain and design localized indicators of development sustainability at the regional level of the Persian Gulf. The main goals of sustainable development are to attain durable development in maritime areas in which efforts are made to provide a balance between economy, community and the marine environment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.999

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 science0.0000.000
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 head0.030
GPT teacher head0.201
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicInternational Maritime Law IssuesFrench-language works237,207