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Record W4293053639 · doi:10.5539/jas.v14n7p61

Impacts of International and National Regulatory Frameworks on Guaranteeing Farmers’ Right in Brazil

2022· article· en· W4293053639 on OpenAlexvenueno aff
Jean Wisguen Inozile, Henrique dos Santos Pereira

Bibliographic record

VenueJournal of Agricultural Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado do AmazonasCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsAgricultural biodiversityAgricultureGenetic resourcesBusinessRight to foodPolitical scienceInternational tradeNatural resource economicsEnvironmental planningFood securityEconomicsGeographyBiotechnology

Abstract

fetched live from OpenAlex

As guardians of agrobiodiversity, farmers must have their rights to these resources recognized, rewarded, and supported by their unparalleled contributions in the development of landraces of cultivated plants and domestic animals. Thus, it is worth questioning to what extent multilateral treaties that deal with the use of plant genetic resources for food and agriculture would ensure the protection of these rights. With this objective, we evaluated legal and administrative multilateral, and national mechanisms for the protection of Farmers’ Rights—FR regarding the sharing of benefits generated by the access to genetic resources and its implications for the conservation of agrobiodiversity. We conducted analyzes of official documents on norms, treaties, decrees, and regulations which enabled the understanding of the elements constituted by the agrobiodiversity conservation system. We demonstrated that the evaluated international regimes do not guarantee the FR but propose that the National States take decisions to implement them according to the needs of the country. The State, the competent bodies, and the Brazilian RD&I organizations must take effective measures and review the laws that should regulate FR, enabling the real participation of farmers in decision-making on conservation and the sharing of benefits derived from agrobiodiversity.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.264
Teacher spread0.251 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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