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Record W7100707308

"DISINFORMATION AND SMEAR: " THE USE OF STATE PROPAGANDA AND MILITARY FORCE TO SUPPRESS ABORIGINAL TITLE AT THE 1995

2001· article· en· W7100707308 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Technology and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Use of forceLaw enforcementResistance (ecology)EnforcementTerrorismState of emergencyCoercion (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

In the summer of 1995, eighteen protesters came into armed conflict with over 400 RCMP officers and soldiers in central British Columbia. The conflict escalated into one of the costliest police operations in Canadian history. Many accounts of Aboriginal aggression provided by the RCMP are not consistent with evidence disclosed at the trial of the protesters. Moreover, the substance of the legal arguments at the heart of the Ts ' Peten Defenders ' resistance received little attention or serious analysis by state officials, police or the media. The RCMP constructed the Ts ' Peten Defenders as terrorists and downplayed the use of state force that included military weaponry, land explosives and police snipers, who received orders to shoot to kill. Serious questions remain about the role of the RCMP, who acted as the enforcement arm of state policies designed to constrain the effort to internationalize the Aboriginal title question.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.310
Teacher spread0.278 · 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 teacher head, 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
Published2001
Admission routes1
Has abstractyes

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