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Record W2766257644 · doi:10.5539/ass.v13n11p83

Climate Justice in the Palestinian Legal System: Analysis and Proposals for Reform

2017· article· en· W2766257644 on OpenAlexvenueno aff
Mahmoud Dodeen

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureJurisdictionAdaptation (eye)Climate changeConstitutionEconomic JusticePolitical sciencePublic administrationClimate justiceEnvironmental lawBusinessEnvironmental resource managementEnvironmental planningLawEconomicsGeography

Abstract

fetched live from OpenAlex

This article examines the legal treatment of climate change matters in the Palestinian legislation. To assess the adequacy of current legislation, the article starts by looking at the amended Basic Law of 2003, as a temporary constitution. It then looks at laws relevant to various environmental elements and energy, and finally explores options for reform. It is found that several legal aspects of environment justice are already addressed by national legislation. Nonetheless, key legal and regulatory provisions on climate change concerns, in particular mitigation and adaptation, are still need to be developed. The article recommends appropriate legislative instruments to fill gaps in the overall existing legal framework, including the creation of a well-architected institutional framework, with clear jurisdiction and responsibilities, among competent authorities; to enhance national and sectoral strategies and plans for mitigation and adaptation to climate change. A national highly-transparent Environment and Climate Change Fund has also been suggested; to sustain the national ability in financing environmental and climate change activities.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.002
Scholarly communication0.0020.001
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 head0.026
GPT teacher head0.343
Teacher spread0.316 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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