MétaCan
Menu
Back to cohort
Record W198772839 · doi:10.14453/ltc.520

Introduction - Justice framed: law in comics and graphic novels

2012· article· en· W198772839 on OpenAlex

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.

Bibliographic record

VenueLaw/text/culture · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsComicsEconomic JusticeLawSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Justice Framed is born of the passionate and rich – though not always peaceful or courteous – nexus between two long-time companions: comics and law. Comics are utterly gripped by issues of legality, order and justice, but their theoretical and ideological partnership has been conspicuously neglected in legal scholarship. Even in the emerging field of law and the visual, or in the firmly established disciplines of criminal justice studies or law and popular culture, jurisprudential and sociopolitical texts addressing law’s manifestations in, around, and through the comic frame are still an odd rarity – with a few remarkable exceptions. While law’s fascination with control and order is reflected in the existing literature dealing with the governance of comics by legal rules – the law of art – the ways in which comics imagine and depict law – the art of law – are still academically underestimated and underexamined. Fortunately, the situation seems to be rapidly ameliorating. This special issue of Law Text Culture reflects a growing interest among scholars in the insight and opportunity comics provide for illuminating, developing and critiquing law.

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)0.000
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: none
Teacher disagreement score0.903
Threshold uncertainty score0.562

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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