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Record W1517807127

Taser as an Enforcement Tool

2009· article· en· W1517807127 on OpenAlexaboutno aff
Árni Sigurgeirsson

Bibliographic record

VenueSkemman · 2009
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsnot available
Fundersnot available
KeywordsComputer securityEnforcementBusinessComputer sciencePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The enforcement tool Taser is used by police officers in United States, United Kingdom, \nFrance and Canada. The Icelandic Police Union has approved a request for police officers to carry and use Taser when they are on duty. Increasing violence against police officers is the main reason behind the request but according to the National Commissioner of the Police Assistant, Mrs. Sigríður Björk Guðjónsdóttir, police work is becoming more hostile for officers. The request has been taken under consideration by the National Commissioner of the Police and the Minister of Justice but no statement about the request has been published yet. \nAmnesty International, an organization that improves human rights through campaigning and international solidarity, is against Taser as an enforcement tool because it basically causes pain that could be equal to torture. Amnesty argues also that the use of Taser by officers violates international law that protects human rights. The Human Rights Committee against Torture considers Taser not a preferable enforcement tool.

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)0.007
metaresearch head score (Gemma)0.010
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 score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.006
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0310.006

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 head0.013
GPT teacher head0.311
Teacher spread0.298 · 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
Published2009
Admission routes1
Has abstractyes

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