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Record W2211030804

Negotiation, Mediation, Globalization Protests and Police: Right Processes; Wrong System, Issues, Parties and Time

2003· article· en· W2211030804 on OpenAlexaffabout
Trevor C. W. Farrow

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsYork University
Fundersnot available
KeywordsDissentGlobalizationPolitical scienceGovernment (linguistics)MediationSummitNegotiationPolitical dissentLawPoliticsPublic relationsSociologyPublic administrationPolitical economy
DOInot available

Abstract

fetched live from OpenAlex

In dealing with anti.globalization protesters, police forces in Canada and the United States are experimenting with a new proactive strategy of negotiation and mediation. This strategy addresses two key objectives: protecting the safety of police, protesters, meeting delegates and the public, and facilitating lawful dissent. It has been credited, most recently at the 2002 G8 Summit in Alberta, with reducing violence on the part of protesters. However, in the author's view, an emphasis on dialogue between police and protesters raises several concerns. First, it tends to involve protestors within the political system that they are trying to change from the outside, thus limiting their ability to bring about such change. Second, focusing the dialogue on issues of safety and the acceptable level of dissent draws attention away from the fundamental issues that concern the protesters, such as fair trade, workers' rights, the environment and debt relief Third, the dialogue is with the police, rather than with the government and corporate representatives whom the protesters are trying to reach. Fourth, at this point in the history of the anti·globalization movement, police-protester negotiations may dampen the dissent and debate that me needed to bring real institutional change.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.276
Teacher spread0.269 · 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 designTheoretical or conceptual
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

Citations4
Published2003
Admission routes2
Has abstractyes

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