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Record W4386166283 · doi:10.59962/9780774850629

Another Kind of Justice

2007· book· en· W4386166283 on OpenAlexaboutno aff
Chris Madsen

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticePolitical scienceLaw

Abstract

fetched live from OpenAlex

Another Kind of Justice is the first historical survey of Canadian military law, providing insights into military justice in Canada, the purpose of military law, and the level of legal professionalism within the Canadian military. Drawing on a wide range of materials, Chris Madsen traces the development of military law from 1867 to 1997. After delving into the British roots of Canadian military law, he brings his discussion up to date with analysis of recent sexual discrimination cases and the Somalia inquiry. He explains how the law has served a strictly functional purpose in maintaining discipline, and demonstrates how it claims its legitimacy and distinct status in relation to civil law. It becomes clear that military law has responded to pragmatic needs in a reactive rather than a planned manner. Another Kind of Justice describes the statutes and regulations that govern Canada's armed forces, the institutions responsible for overseeing military law, and how knowledge about military law is disseminated. Madsen concludes that longstanding organizational problems and training deficiencies bear some of the responsibility for the unfortunate behaviour of Canadian soldiers in Somalia.

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)0.007
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 score0.366
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0170.031
Scholarly communication0.0100.010
Open science0.0020.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0200.003

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 head0.029
GPT teacher head0.230
Teacher spread0.201 · 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
Published2007
Admission routes1
Has abstractyes

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