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Exploring Humor and Media Hoaxing in Social Justice Activism

2019· article· en· W3007429320 on OpenAlexaboutno aff
Ian Reilly

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsDistrustSocial mediaSociologyMedia studiesEconomic JusticeNova scotiaPublic relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Humour and satire have figured only marginally in the recent groundswell of activist literature dedicated to the renewal of tools, tactics, and strategies. In an effort to evaluate the effectiveness and appropriateness of humour and media hoaxing as tactics within activist communities—in a moment characterized by increased distrust in news organizations and information—this essay offers insight into artist and activist thinking on a topic rarely discussed in social justice activism circles. In drawing on the views and perspectives of individuals that participated in a weekend-long workshop held in Halifax, Nova Scotia, and run by the Yes Lab for Creative Activism, I argue that humour and media hoaxing are under-utilized tactics and approaches that nevertheless inspire a great deal of discussion and reflection, and retain a distinctly positive charge in their future application to social justice struggle. More specifically, interviews culled from this one-time event point to the challenges and opportunities of integrating media strategies, humour, and hoaxing, all the while acknowledging the defining tensions and asymmetries that mark the current moment.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.206
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.106
GPT teacher head0.293
Teacher spread0.187 · 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 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
Published2019
Admission routes1
Has abstractyes

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