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Record W2900279161 · doi:10.1353/llt.2018.0040

Shaping Graphic History: Primary Sources and Closure in Showdown! Making Modern Unions

2018· article· en· W2900279161 on OpenAlexvenueaboutno aff
Rob Kristofferson, Simon Orpana

Bibliographic record

VenueLabour / Le Travail · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsScholarshipSituatedMeaning (existential)Comic stripClosure (psychology)EpistemologySociologyComputer scienceLiteraturePolitical scienceArtLawPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The recently released Showdown! Making Modern Unions is a graphic history documenting the successful wave of strikes in Hamilton, Ontario, in 1946 that, together with similar struggles elsewhere, led to the establishment of legalized systems of collective bargaining and the refashioning of the social order more generally to better accommodate the well-being of the Canadian working class in the decades following World War II. 1 This article builds on recent scholarship about graphic history by considering the tools and possibilities this medium opens up to professional historians regarding the use of primary sources. We suggest that far from offering "history-lite" ways of engaging the public in the professional historical enterprise, graphic histories enable strategies for using primary sources that actually enhance and popularize the ways historians can effectively use evidence, particularly with an eye toward helping build the critical consciousness of an expanded base of readers. The strategies made possible through the graphic history medium can thus complement other, more traditional forms of historical research and writing.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.037
GPT teacher head0.218
Teacher spread0.181 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

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