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Record W2158374093 · doi:10.18584/iipj.2015.6.2.8

Traditional Communities as "Subjects of Rights" and the Commoditization of Knowledge in Brazil

2015· article· en· W2158374093 on OpenAlexvenueno aff
Noemi Miyasaka Porro, Joaquim Shiraishi, Roberto Porro

Bibliographic record

VenueInternational Indigenous Policy Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDevelopment, Ethics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCommoditizationNegotiationConvention on Biological DiversityConventionTraditional knowledgeState (computer science)Power (physics)TransnationalityDiversity (politics)SociologyIndigenousPolitical scienceLaw and economicsPolitical economyLawEconomicsMarket economy

Abstract

fetched live from OpenAlex

The International Labor Organization (ILO) Convention 169 and the Convention of Biological Diversity (CBD) led signatory state-members to recognize traditional communities as subjects of rights, and no longer as objects of tutelage. However, their implementation may bring new challenges in states adopting market-based decision-making to rule social life. In pluri-ethnic societies in which power differentials are structurally embedded, traditional communities and companies exploring their resources and knowledge have been, historically, unequal and opposed parties. In processes of benefit sharing, these unequal social actors are wrongfully considered equally free subjects of rights in negotiating contracts in supposedly free markets. Erasing historical and structural differences, and assuming equality in an unequal world will only reproduce the inequality that CBD has aimed to address.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.019
Scholarly communication0.0040.004
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.092
GPT teacher head0.385
Teacher spread0.293 · 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 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

Citations4
Published2015
Admission routes1
Has abstractyes

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