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Record W1956746241 · doi:10.7202/029718ar

Théâtre de guerres

2009· article· fr· W1956746241 on OpenAlexaffvenue
Mariella Pandolfi

Bibliographic record

VenueAnthropologie et Sociétés · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPassionsPolitical sciencePhilosophyTheology

Abstract

fetched live from OpenAlex

La guerre du Kosovo en 1999 fut un théâtre de passions politiques qui se croisaient à différents niveaux. Ces passions renvoient à l’expérience collective, prise dans des cadres mouvants et passionnés comme l’ethnie et la nation. Elles renvoient également, et tout d’abord, à une expérience individuelle qui peut confiner aux limites du dicible, du mémorable, du transmissible. Enfin, ces expériences sont investies, dans le contexte d’une gestion de crise et d’une gestion du désordre, par les dispositifs techniques et procéduraux d’une action humanitaire qui évolue avec ambivalence entre les pôles de la compassion et de la dépassionalisation bureaucratique, reposant de ce fait la question de la violence d’une nouvelle manière. Le travail ethnographique, qui est présence sur les différentes scènes de la guerre et de l’intervention, mais qui est aussi production de voix et de récits, participe lui aussi de ces expériences et doit y faire face. Comment, dans ce contexte, mettre au point un dispositif interprétatif qui puisse être réellement opératoire dans un scénario de l’extrême, tout en cherchant à se maintenir au-delà d’une quelconque institutionnalisation de l’interprétation?

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)0.001
metaresearch head score (Gemma)0.001
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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.010
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.218
GPT teacher head0.581
Teacher spread0.364 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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