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Record W2024055326 · doi:10.3138/cjwl.21.1.1

<i>Rapport minoritaire</i> : La dissidence fait juge

2009· article· en· W2024055326 on OpenAlexaff
Marie-Claire Belleau, Valérie Bouchard, Rebecca Johnson

Bibliographic record

VenueCanadian Journal of Women and the Law/Revue Femmes et Droit · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDissentUnanimityVisionVariety (cybernetics)Relation (database)ParallelsState (computer science)SociologyLawPolitical scienceEpistemologyPhilosophyTheologyComputer science

Abstract

fetched live from OpenAlex

In this article, we explore the relationship between gender, judging, and the place of judicial dissent through the cinematographic treatment of the film Minority Report. We draw parallels between the structure of the judicial system and the main characters and events of the film to better understand how the idea of ‘dissent’ is represented and gendered. The exercise leads us to a consideration of the figure of the judge in relation to the film's precognitives – three beings kept in a foetal state whose task it is to transmit their visions of the future, visions that enable the prevention of murders yet to come. The precognitives can be seen, in the world of the film, to have assumed the role of judge. We see them as assuming that function in a variety of ways: first, as a type of ‘judicial-automatons’ in a system that is thought to require perfect and necessary unanimity, where the truth can be definitively known and found; alternatively, as judges in a more flexible and provisional system where the possibility of disagreement and dissent exists.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.008
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.255
Teacher spread0.236 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Women and the Law/Revue Femmes et DroitSame topicLaw in Society and CultureFrench-language works237,207