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Record W1577658684 · doi:10.7202/013828ar

Paix et développement dans les Andes?

2006· article· fr· W1577658684 on OpenAlexaffvenue
Jorge Legoas

Bibliographic record

VenueAnthropologie et Sociétés · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article a pour but d’exposer, dans une perspective poststructuraliste, la façon dont les discours véhiculés par le dispositif de développement international ont fait allusion à la « paix » et à la « prospérité » pour endosser par la suite une préoccupation mondiale à l’égard de la sécurité, ce qui a fait de cette dernière un synonyme simplifié de l’idée de paix et un objectif primordial du dispositif. La démocratie devient dès lors un instrument au service de cet objectif et, dorénavant, les projets d’appui au développement local viseront la mise en place de modèles de citoyenneté préétablis qui installent la fonction de contrôle au coeur des pratiques du citoyen. Ainsi figé dans l’espace local, ce modèle de développement international ne parvient pas à prendre en compte la diversité culturelle et continue d’alimenter la marginalisation et la violence structurelles qui caractérisent la société péruvienne. L’assassinat du maire d’Ilave, dans le département de Puno, au Pérou, par sa propre population, objet de telles pratiques de développement, illustre la façon dont ce processus peut conduire à des situations extrêmes en tous points opposées à la recherche de la paix.

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)0.003
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.029
Scholarly communication0.0110.010
Open science0.0010.010
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0150.002

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 head0.254
GPT teacher head0.593
Teacher spread0.339 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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