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Record W1845175327 · doi:10.1080/08838151.2015.1054999

Kissing in the Carnage: An Examination of Framing on Twitter During the Vancouver Riots

2015· article· en· W1845175327 on OpenAlex
Lauren M. Burch, Evan Frederick, Ann Pegoraro

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Broadcasting & Electronic Media · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsLaurentian University
Fundersnot available
KeywordsFandomRemorseFraming (construction)ShamePoliticsMedia studiesPublic opinionSociologyUnrestEmbarrassmentPerceptionSocial unrestAdvertisingPolitical scienceSocial psychologyPsychologyHistoryLaw

Abstract

fetched live from OpenAlex

This study examines the frames found on Twitter during the Vancouver riots on June 15, 2011. A textual analysis was employed, and resulted in the identification of 5 frames: fandom, riot propagation, global perspectives, shame on Vancouver, and real fans vs. idiots. The identification of these frames illustrated Twitter's role as a source of news and information, and also an outlet for shaping public opinion and cultural perception. Twitter provided the opportunity to counter public perceptions of Canadian hockey fans and the rioters through displays of dissociation, embarrassment, remorse, and comparisons to substantial global events of political unrest.

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.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
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 integrity0.0000.001
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 head0.044
GPT teacher head0.327
Teacher spread0.283 · 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