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Record W2063071539 · doi:10.4000/conflits.985

Janice E. Thompson : le mercenariat comme forme socio-historique de coercition privée

2003· article· fr· W2063071539 on OpenAlexaff
Elodie Rigaud

Bibliographic record

VenueCultures & conflits/Cultures et conflits · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsCanadian Historical Association
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Selon les tudes historiques, la premire forme de mercenariat est apparue ds l'Antiquit grecque, mais c'est la Renaissance, entre le XIVme et XVIme sicle, que le phnomne mercenaire a pris une relle ampleur. En effet, cette poque en Italie, des condottieri -de condotta, nom des contrats que ces compagnies de mercenaires signaient -taient employs par les cits italiennes pour se dfendre. Remdiant au dclin de l'organisation militaire fodale, les mercenaires constituaient alors de vritables armes professionnelles permanentes. De nos jours, il est souvent fait tat d'un retour des mercenaires que l'on inscrit gnralement sous l'tiquette quivoque de nouveaux mercenaires . Ce terme de mercenaires semble rducteur lorsque l'on observe les diverses ralits que le phnomne peut englober et l'htrognit du mercenariat au cours des sicles.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.064
GPT teacher head0.359
Teacher spread0.294 · 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 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

Citations0
Published2003
Admission routes1
Has abstractyes

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