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Record W1162489397 · doi:10.60082/2817-5069.1316

Legal Pluralism and Human Agency

2006· article· en· W1162489397 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueOsgoode Hall law journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLegal pluralismNormativePluralPluralism (philosophy)Theme (computing)SociologyEpistemologyLawScholarshipAgency (philosophy)Law and economicsLegal realismLegal researchPolitical scienceSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

Much legal-pluralist scholarship tends to naturalize "the law of the context," treating that law as though it were inherent in social interaction, emerging spontaneously, without conscious human decision. This view overstates the role of agreement in human societies and mischaracterizes the nature of law, including non-state law. All law is concerned with establishing a collective set of norms against a backdrop of normative disagreement, not agreement. It necessarily contains mechanisms for bringing contention to a provisional close, imposing a collective solution. This article presents a theory of legal pluralism that takes human disagreement seriously. The theory retains four themes crucial to legal pluralism: the hermeneutic theme, the plural theme, the adaptive theme, and the decentring theme. It also helps us to identify two modes common in legal analysis-the descriptive and the hortatory mode-which are quite different, though often confused. In doing so it provides a compelling, pluralist conception of law, one that takes human disagreement seriously.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score0.997

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 studies0.0040.001
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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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