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Record W2800398316

El papel de los tribunales en la reivindicación de derechos indígenas. Casos relevantes de la experiencia canadiense

2018· article· es· W2800398316 on OpenAlexaboutno aff
Martha Alejandra Tello Mendoza

Bibliographic record

VenueRevista Justicia Electoral · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicLegal processes and jurisprudence
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

espanolEn este articulo se estudian casos relevantes llevados ante las cortes canadienses por personas indigenas con el objetivo de mostrar el papel de los tribunales en la reivindicacion de sus derechos. Ademas de identificar los problemas que aun enfrentan estas minorias en Canada relacionados con su identidad y sus derechos de autogobierno, se muestran los mecanismos constitucionales por medio de los cuales se procura remediarlos. Ante el clasico debate entre liberales y comunitaristas acerca de la imposibilidad de lograr la coexistencia cultural plena, este articulo busca resaltar la funcion de la consulta y la negociacion con las naciones originarias como una de las politicas mas exitosas de la experiencia canadiense en su busqueda por afianzar un genuino Estado multicultural EnglishThe following paper studies relevant judicial trials presented by Indigenous People before the Canadian courts. It is the intention to point out the courts role in the remedy of Canadian Indigenous People’s rights. Apart from identifying issues still faced by these minorities related to their identity and government, the constitutional mechanisms for correction are described. This paper intents to outline the role of consultation and negotiation, as one of the most successful Canadian policies as to reach a genuine multicultural state

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)0.004
metaresearch head score (Gemma)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0210.020
Scholarly communication0.0080.002
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.350
Teacher spread0.341 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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