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Record W2970291815

Brief on the Investigation of Canadian Nationals for War Crimes and Crimes Against Humanity in Afghanistan

2017· article· en· W2970291815 on OpenAlexaboutno aff
Craig Scott

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsCrimes against humanityHumanityWar crimeCriminologyPolitical scienceGenocideLawSociologyInternational law
DOInot available

Abstract

fetched live from OpenAlex

Acting Director of the Nathanson Centre, Professor Craig Scott, has submitted a brief to Prosecutor Fatou Bensouda of the International Criminal Court providing evidentiary reasons why Canadians in the military and civilian chain of command during Canada ‘s presence in the war in Afghanistan should fall within the scope of the Prosecutor’s efforts to investigate the “situation in Afghanistan” with respect to war crimes committed by the Taliban, the CIA and Afghan National Security Forces. Potential criminal responsibility arises from Canada ‘s policy and practices on the transfer of captives to both the US and Afghanistan. The brief also highlights the absence of any investigation in Canada into the chains of command and a general institutional unwillingness to investigate as the reasons why the ICC owes no deference to Canada, and why such failures in Canada provide added reason why Canadians should be included in the ICC investigation.

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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.009
Science and technology studies0.0420.004
Scholarly communication0.0060.002
Open science0.0030.002
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.149
GPT teacher head0.355
Teacher spread0.206 · 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
Published2017
Admission routes1
Has abstractyes

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