MétaCan
Menu
← Back to cohort
Record W4386707170 · doi:10.1017/9781009334051.009

Denouements and Turned Spades

2023· book-chapter· en· W4386707170 on OpenAlexaff
George Pavlich

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCriminalizationFalse accusationPoliticsCriminal justiceColonialismPolitical scienceBiopowerDisciplineSociologyLawCriminology

Abstract

fetched live from OpenAlex

The discussion concludes by reviewing paradigmatic socio-political logics of hybrid sovereign, disciplinary, and biopower within colonial theatres of criminal accusation, as revealed by the preceding analyses of archived Albertan texts. It traces a ‘coloniality’ within accusatory performances framed by racialized, patriarchal, and marginalizing criminal justice institutions (Maldonado-Torres 2007). In composite, the chapters point to several key social and political foundations through which accusations of crime provided conditions for colonial criminalization to emerge. It is significant that such accusations and the law that they sustained were from the outset placed in the service of dispossessing social, political, and economic ambitions. The book concludes by reflecting on two legacy bequests of colonial accusation that might be used to think in ways that exceed the socio-political horizons that contour today’s vast, unequal, and repressive criminal justice systems.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0200.003

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 head0.032
GPT teacher head0.250
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicIndigenous Health, Education, and Rights→French-language works237,207→