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Record W4386292286 · doi:10.1177/09646639231194450

Violence, Misrecognition, and Place: Legal Envelopment and Colonial Governmentality in the Upper Skeena River, British Columbia, 1888

2023· article· en· W4386292286 on OpenAlexafffundabout
Matthew P. Unger

Bibliographic record

VenueSocial & Legal Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsExpansionismColonialismGovernmentalityObjectivity (philosophy)LawLegal pluralismPerformative utteranceMythologySociologyHistoryPolitical scienceAestheticsLegal realismEpistemologyPhilosophyComparative lawPolitics

Abstract

fetched live from OpenAlex

This paper is concerned with exploring legal atmospheres during colonial expansionism and the early period of confederation of British Columbia. By describing the theatrical and performative aspects of legal colonialism, the archival documents from this time represent interesting, yet oft-overlooked, significances that attention to sensory and affective experiences captures. Examining "affective atmospheres" disclosed in such colonial settings reveals ways that the colonial regime promulgated its influence in non-rational, non-legal manners. As well, drawing out the material conditions of topography shows how the environment acts more than just a backdrop for the staging of legal expansionism, as it acts also as a constitutive force in the development of colonial legal arrangements. At the same time, the colonial regime was forgetful of these same contextual, topographical, and atmospheric origins of law insofar as it promulgated myths of the universality, objectivity, and superiority of English 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.

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)0.001
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.011
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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
Published2023
Admission routes3
Has abstractyes

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