MétaCan
Menu
Back to cohort
Record W2487574895 · doi:10.18584/iipj.2016.7.2.6

The Nagoya Protocol and Indigenous Peoples

2016· article· en· W2487574895 on OpenAlexvenueno aff
Maria Yolanda Teran

Bibliographic record

VenueInternational Indigenous Policy Journal · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTraditional knowledgeNegotiationDeclarationPolitical scienceHuman rightsEconomic growthProtocol (science)Convention on Biological DiversityPublic administrationPublic relationsBiodiversityLawMedicineEcologyBiologyEconomics

Abstract

fetched live from OpenAlex

This article is about Indigenous peoples’ involvement in the Nagoya Protocol negotiations from 2006 to 2010, as well as in its implementation to stop biopiracy in order to protect Pachamama, Mother Earth, and to ensure our survival and the survival of coming generations. The Nagoya Protocol is an international instrument that was adopted in Nagoya, Japan in October 2010 by the Conference of Parties (COP 10) and ratified by 51 countries in Pyeongchang, South Korea in October 2014 at COP 12. This protocol governs access to genetic resources and the fair and equitable sharing of benefits arising from their utilization (access and benefit sharing [ABS]). It has several articles related to Indigenous peoples and traditional knowledge, as well as: The interrelation and inseparable nature between genetic resources and traditional knowledge; The diversity of circumstances surrounding traditional knowledge ownership, including by country; The identification of traditional knowledge owners; The declaration of Indigenous peoples' human rights; and The role of women in the biodiversity process. In addition, this protocol lays out obligations on access, specifically participation in equitable benefit sharing, the accomplishment of prior and informed consent, and the mutually agreed terms and elaboration of a national legal ABS framework with the participation of Indigenous peoples and local communities in order to have well-defined roles, responsibilities, and times of negotiations.

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)0.011
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.024
Scholarly communication0.0080.008
Open science0.0020.012
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.292
Teacher spread0.285 · 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 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

Citations28
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Indigenous Policy JournalSame topicInternational Maritime Law IssuesFrench-language works237,207