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Record W773999020 · doi:10.4018/ijiscram.2014100104

“Do-it-Yourself Justice”

2014· article· en· W773999020 on OpenAlexaboutno aff
Caroline Rizza, Ângela Guimarães Pereira, Paula Curvelo

Bibliographic record

VenueInternational Journal of Information Systems for Crisis Response and Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeUnintended consequencesSocial mediaAccountabilityNarrativePolitical scienceDowntownPublic relationsSocial justiceCriminologySociologyLawHistory

Abstract

fetched live from OpenAlex

In June 2011, during the ice hockey Stanley Cup, as the Vancouver Canucks were losing, riots started in downtown Vancouver. Social media were used to communicate between authorities and citizens, including the rioters. The media reporting on these events framed these communications within different narratives, which in turn raised ethical considerations. The authors identify and reflect upon ideas of justice, fairness, responsibility, accountability and integrity that arise in the media stories. In addition they investigate (1) the “institutional unpreparedness” of the Vancouver police department when receiving such quantity of material and dealing with new processes of inquiry such material requires; (2) the “unintended do-it-yourself-justice”: the shift from supporting crisis responders to social media vigilantes: citizens overruling authorities and enforcing justice on their own terms and by their own means through social media and; (3) the “unintended do-it-yourself-society” supported by the potential-of social media's use for prompting people to act.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score0.299

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 studies0.0000.000
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 head0.023
GPT teacher head0.355
Teacher spread0.331 · 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

Citations29
Published2014
Admission routes1
Has abstractyes

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