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Record W2799362318 · doi:10.3138/cjccj.2016-0012.r2

La police face aux outils numériques : pratiques et communication policière sur Twitter lors des manifestations à Montréal

2018· article· en· W2799362318 on OpenAlexaffvenueabout
Simone Tuzza, Samuel Tanner, Cassandre Carpentier-Laberge

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLaw enforcementSocial mediaMicrobloggingAgency (philosophy)Scope (computer science)SociologyPolitical scienceDigital mediaMedia studiesPublic relationsLawComputer scienceSocial science

Abstract

fetched live from OpenAlex

The use of the media by protesters during demonstrations affects the police force and its response. The new media force the police to update its crowd control strategy. The police's scope of concern reaches an unprecedented level of exchange, because of the digital dimension adding to the physical one; it now has to take both into account in its crowd management practices. What is the attitude adopted by the Service de police de la Ville de Montréal (SPVM) with regard to the social media? What use does it make of the Twitter microblogging platform during demonstrations? In order to understand how the law enforcement agency uses the potential of this media and how it impacts its communications and practices, a database of 3,909 Twitter messages, dated between September 2012 and June 2015, was created. An analysis of the database shows that the SPVM seeks to establish a direct and egalitarian dialogue with the public, tries to open a specific communication channel with protesters and uses this new medium as a strategic 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 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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.179
GPT teacher head0.398
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations1
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicPolicing Practices and PerceptionsFrench-language works237,207