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Record W2524200100 · doi:10.7202/1068945ar

ACERCA DE LA PROTECCIÓN DE LA DIVERSIDAD CULTURAL Y LOS DERECHOS DE LOS PUEBLOS INDÍGENAS EN EL DERECHO INTERNACIONAL I

2020· article· es· W2524200100 on OpenAlexvenueno aff
Juan Daniel Oliva Martínez

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicMultidisciplinary Research Papers Compilation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesDerechoPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

En los últimos tiempos se viene confirmando un marco jurídico internacional tendente a preservar la diversidad cultural, entendida esta como un patrimonio de toda la humanidad. Al respecto cabe destacar el papel jugado por la UNESCO y concretamente la adopción de la Declaración sobre la Diversidad Cultural y de la Convención sobre la protección y la promoción de la diversidad de las expresiones culturales – ya en vigor. Paralelamente la comunidad internacional ha empezado a reconocer que los pueblos indígenas de todo el planeta, auténticos garantes y depositarios de la diversidad cultural, tienen una serie de derechos específicos, de titularidad variable y amplio contenido material, que generan obligaciones para los Estados tanto de resultado como de comportamiento. Estos derechos estarían encaminados a asegurar su autonomía y preservar su identidad cultural diferenciada. Este trabajo se adentra fundamentalmente en las confluencias que existen entre la protección de la diversidad cultural y el reconocimiento de los derechos de los pueblos indígenas, partiendo de la premisa de que los avances en estos campos, con sus especificidades y ámbitos concretos de regulación, se refuerzan y enriquecen, ayudando a consolidar un emergente sector del derecho internacional llamado a proteger la diversidad cultural.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.003

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 head0.025
GPT teacher head0.372
Teacher spread0.347 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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