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Record W7055702983

Direct Action Gets the Goods : A Graphic History of the Strike in Canada

2019· book· en· W7055702983 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2019
Typebook
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsComicsAction (physics)Direct actionPower (physics)UnrestSocial unrestRepresentation (politics)Collective action
DOInot available

Abstract

fetched live from OpenAlex

"Art has always played a significant role in the history of the labour movement. Songs, stories, poems, pamphlets, and comics, have inspired workers to take action against greedy bosses and helped shape ideas of a more equal world. They also help fan the flames of discontent. Radical social change doesn’t come without radical art. It would be impossible to think about labour unrest without its iconic songs like “Solidarity Forever” or its cartoons like Ernest Riebe’s creation, Mr. Block. \n \nIn this vein, The Graphic History Collective has created an illustrated chronicle of the strike—the organized withdrawal of labour power—in Canada. For centuries, workers in Canada—Indigenous and non-Indigenous, union and non-union, men and women—have used the strike as a powerful tool, not just for better wages, but also for growing working-class power. This lively comic book will inspire new generations to learn more about labour and working-class history and the power of solidarity." -- Publisher's website.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.088
Threshold uncertainty score0.639

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0220.005
Scholarly communication0.0100.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0410.003

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 head0.010
GPT teacher head0.211
Teacher spread0.200 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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