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Record W2902282795 · doi:10.33002/nr2581.6853.01011

Debate on Genetic Resources Accessed Ex Situ in the context of the Nagoya Protocol

2018· article· en· W2902282795 on OpenAlex
Hasrat Arjjumend

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGrassroots Journal of Natural Resources · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsCustodiansContext (archaeology)Protocol (science)BusinessIndigenousGenetic resourcesTreatyPolitical scienceEx situ conservationGeographyLawBiotechnologySociologyMedicineBiologyPopulation

Abstract

fetched live from OpenAlex

Recently enacted two international laws – Nagoya Protocol on access and benefit sharing (ABS) and International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA) – deal with the access/utilization of and benefit sharing arising out from genetic resources and associated traditional knowledge (TK). Both the instruments lack relevant appropriate provisions guiding the countries to take administrative or legislative measures for covering and addressing the benefit sharing from the ex situ collections of genetic resources that were accessed well before the Nagoya Protocol came into existence. Developed nations show no willingness to share the benefits arising from the biological resources which they accessed from developing countries and retain ex situ. As a result, most affected entity would be the indigenous people and local communities (ILCs) – the custodians of most of the local biological resources – who would receive no benefits. The implications on this crucial issue will be critically reviewed in this article to identify appropriate solutions to this bottleneck using a few case studies.

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.

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 score0.168
Threshold uncertainty score0.371

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 communication0.0000.000
Open science0.0020.000
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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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