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Record W2883989762 · doi:10.15330/jpnu.5.2.67-82

Recognition of Customary Law and Institutions and Community Protocols of Indigenous People in Domestic ABS Legislation or Policies in Accordance with the Provisions of Nagoya Protocol

2018· article· en· W2883989762 on OpenAlexaff
Hasrat Arjjumend

Bibliographic record

VenueJournal of Vasyl Stefanyk Precarpathian National University · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIndigenousStatutory lawLegislationPolitical scienceLawLegislaturePublic administrationInternational lawBusiness

Abstract

fetched live from OpenAlex

The Nagoya Protocol on Access and Benefit Sharing (ABS) provides for the rights of Indigenous people and local communities in accordance with United Nations Declaration of Rights of Indigenous People. The Parties are obliged to take legislative, administrative and technical measures to recognize, respect and support/ensure the customary laws & institutions and community protocols of Indigenous peoples and local communities (ILCs). Within the ambit of contemporary debates encompassing Indigenous peoples’ right to self-determination, this paper examines the effectiveness of international law (i.e. Nagoya Protocol) to influence existing or evolving domestic laws, policies or administrative measures of Parties on access and benefit sharing. Through opinion surveys of Indigenous organizations and national authorities of CBD’s Parties, the findings indicate that the space, recognition and respect created in existing or evolving domestic ABS measures for rights of Indigenous communities are too inadequate to effectively implement the statutory provisions related to customary laws & institutions and community protocols, as envisaged in Nagoya Protocol. As the bio-cultural rights of Indigenous people are key to conservation and sustainable use of biodiversity, the domestic ABS laws need reorientation to be sufficiently effective in translating the spirit of international ABS laws into domestic policies.

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)0.001
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 score0.155
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.303
Teacher spread0.272 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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