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Record W1974575705 · doi:10.1353/jls.2006.0010

Introduction : Culture in tne Domains of Law

2005· article· en· W1974575705 on OpenAlexaffabout
David Howes

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsConcordia University
Fundersnot available
KeywordsLawMulticulturalismPolitical scienceCharterLegal cultureDutySociologyCultural heritage

Abstract

fetched live from OpenAlex

In their introduction to Law in the Domains of Culture , Austin Sarat and Thomas Kearns write: “[l]aw and legal studies are relative latecomers to cultural studies. To examine [law in the domains of culture] has been, until recently, a kind of scholarly transgression.” The same could be said in reverse: cultural studies (including anthropology) are a relative latecomer to law and legal studies, but in the last few decades there has been a striking irruption of cultural discourse in the domain of law. It is as if the acquisition of some degree of “cultural competence” has become a duty in legal circles. Not only are there seminars and courses in “cultural sensitivity” for judges, lawyers, and law enforcement officers, but “the culture concept” now informs many judicial decisions regarding Aboriginal rights, and “the cultural defense” (while hotly contested by some, and still lacking official approbation) has become a feature of numerous criminal trials involving immigrants. Interestingly, the Canadian Charter of Rights and Freedoms refers to “the multicultural heritage of Canadians”, and makes the preservation and enhancement of this heritage a condition of its own interpretation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.893

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations12
Published2005
Admission routes2
Has abstractyes

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