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Record W2901954077

Quand les peuples autochtones mobilisent l’espace pour réclamer justice

2017· article· fr· W2901954077 on OpenAlexaboutno aff
Irène Hirt, Béatrice Collignon

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArtEthnologySociology
DOInot available

Abstract

fetched live from OpenAlex

L’objectif de ce numéro est tout à la fois d’éclairer la compréhension des revendications autochtones par une approche au prisme de la justice spatiale, et d’apporter une contribution à la réflexion au long cours que propose la revue sur cette notion, en examinant le sens qu’elle peut revêtir pour des peuples autochtones. Les contributions rassemblées ici concernent l’Afrique du Sud, la Bolivie, le Brésil, le Canada (en particulier le Québec mais aussi la région de Vancouver), les Etats-Unis (dont l’archipel d’Hawaii), le Mexique, l’Inde et la Nouvelle-Zélande, ainsi que cet espace particulier que sont les instances onusiennes, à Genève et à New York. Elles couvrent ainsi l’ensemble des continents concernés par les luttes autochtones, avec cependant une présence particulièrement forte des Amériques.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.267
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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