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Record W2769365249 · doi:10.14453/ltc.735

Law as Minor Jurisprudence: Is it a Mistake?

2017· article· en· W2769365249 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 · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsConcordia University
Fundersnot available
KeywordsMistakeMinor (academic)JurisprudenceLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

What is law as minor jurisprudence? Existing scholarship around the concept of minor jurisprudence associates it with processes that start something, found something, or stand outside something and, further, with processes that conceal or erase. To seek to clarify the meaning and effect of the phrase ‘“law as” … minor jurisprudence’, I consider cases of mistake that, as legal speech acts, transform a state of affairs. In Part I, I use JL Austin’s theory about speech acts to analyse how speech can be mistaken and how such mistakes may transform states of affairs, using cases of encounters between Indigenous, settler, and international legal orders. In Part II, I survey the debut of the Trump administration as a possible site of minor jurisprudence. Informed by this study of mistakes that help make minor jurisprudence, my investigation suggests that: 1) minor jurisprudence requires major jurisprudence to be cognizable; 2) little intrinsic to the concept of minor jurisprudence offers normative guidance; and 3) the idea of law as minor jurisprudence may be a mistake. If ‘law as’ is understood as a practice of legal knowledge, what matters is the process of drawing the line between major and minor, not the minor itself.

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, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score1.000

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.357
Teacher spread0.324 · 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