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Record W2770799356 · doi:10.3167/cont.2017.050202

Never Mind the Ballots

2017· article· en· W2770799356 on OpenAlexaboutno aff
Matthew Hayes

Bibliographic record

VenueContention · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBallotCitizenshipScholarshipPoliticsDemocracyVotingPolitical scienceState (computer science)LawAction (physics)Law and economicsSociologyPublic administration

Abstract

fetched live from OpenAlex

During the 2000 Canadian federal election, members of the Edible Ballot Society (EBS) protested what they considered to be the “futility of electoral politics” by eating their ballots. This article argues that these actions, while illegal, were performances of citizenship intended to produce a creative rupture in the given definition of the Canadian state and electoral process. The analysis is informed by critical scholarship on protest and humor, and draws on Mikhail Bakhtin’s analysis of carnival and Engin Isin’s framework of “acts of citizenship” to situate the EBS protest as a form of prefigurative politics that is embedded in and yet challenges neoliberal discourse. The EBS action attempted to highlight the Canadian state’s refusal to accept its own emergence as an ongoing political project rather than a static entity, and was pushback against the proscribed voting process designed to open up new spaces for democratic reform.

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)0.003
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.765
Threshold uncertainty score0.472

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0350.025
Scholarly communication0.0100.005
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0190.004

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 head0.099
GPT teacher head0.237
Teacher spread0.137 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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