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Record W7150890816 · doi:10.52377/wzmy2151

Compliance with International and National Frameworks governing natural product research in Guyana: Insight into the policies, guidelines and a communication and engagement strategy for sharing information

2024· article· W7150890816 on OpenAlexaff
Ewart Smith, Ainsely Lewis, R.J. Neil Emery, Suresh S. Narine

Bibliographic record

VenueJournal of Academic Research and Essays Vol 4 · 2024
Typearticle
Language
FieldSocial Sciences
TopicNew Caledonia Indigenous Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsConvention on Biological DiversityIntellectual propertyTraditional knowledgeNatural resourceGlobalizationSovereigntyIndigenousConvention

Abstract

fetched live from OpenAlex

The controversial utilisation of biological resources arises from the amalgamation of globalisation and biopiracy, both fuelled by Intellectual Property Rights (IPRs). Historically, biodiversity exploration remained unhindered, devoid of legal or ethical repercussions. However, over time, extensive debates have taken place, culminating in pivotal agreements: the United Nations Convention on Biological Diversity (UNCBD), ratified during the Nairobi Conference on May 22, 1992; the Trade-Related Aspects of Intellectual Property Rights (TRIPS); and the Nagoya Protocol (NP), inked on October 29, 2010, in Nagoya, Japan, and globally enforced from October 12, 2014. These significant accords, including the Convention on Biological Diversity, uphold nations' sovereignty over natural resources and acknowledge Indigenous and rural communities' traditional knowledge concerning biodiversity. This assessment delves into the global legal framework and instruments that foster trust, protect biological resources, ensure equitable benefit sharing, and establish connections between biodiverse developing countries and research entities. It also highlights Guyana's legal framework, shedding light on its measures to safeguard biodiversity resources and conserve biodiversity within its jurisdiction.

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)0.023
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.005
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 head0.281
GPT teacher head0.506
Teacher spread0.225 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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