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Record W2483668208 · doi:10.1057/9780230598300_3

General Issues on Policy and Prisoner-of-war Camps

2003· book-chapter· en· W2483668208 on OpenAlexaff
Vasilis Vourkoutiotis

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2003
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConventionPrisoners of warLawAdversarySpanish Civil WarPolitical scienceCarry (investment)World War IIGeneva ConventionsLaw of warInternational humanitarian lawInternational lawComputer securityBusinessComputer science

Abstract

fetched live from OpenAlex

The first task of the Geneva Convention was to identify who was entitled to be classified as a prisoner of war: article 1 began by referring directly to those individuals identified in articles 1, 2, and 3 of the Fourth Hague Convention of October 1907. The first of these articles set out the requirements which had to be fulfilled by any army or militia/volunteer corps whose soldiers wished, in case of capture by enemy forces, to be considered prisoners of war: “1. They must be commanded by a person responsible for his subordinates. 2. They must have a fixed distinctive sign recognisable at a distance. 3. They must carry arms openly. 4. They must conduct their operations in accordance with the laws and customs of war. In countries where militia or volunteer corps constitute the army, or form part of it, they are included under the denomination ‘army.”’ The second article of the 1907 Hague Convention added that “[t]he inhabitants of a territory not under occupation, who, on the approach of the enemy, spontaneously take up arms to resist the invading troops without having had time to organise themselves in accordance with article 1, shall be regarded as belligerents if they carry arms openly and if they respect the laws and customs of war.”

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)0.005
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.018
Scholarly communication0.0090.014
Open science0.0030.004
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0320.004

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 head0.023
GPT teacher head0.296
Teacher spread0.272 · 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
GenreOther

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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