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Record W318516896

Authoritarian Criminology and the Racial Profiling Debate in Canada: Scientism as Epistemic Violence

2014· article· en· W318516896 on OpenAlexaboutno aff
Tamari Kitossa

Bibliographic record

VenueDigital Scholarship - Texas Southern University (Texas Southern University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsRacial profilingScientismPositivismAuthoritarianismSociologyCriminologyCriminal justiceDenialDemocracyPoliticsLawSocial sciencePolitical scienceGender studiesPsychoanalysisPsychologyRace (biology)
DOInot available

Abstract

fetched live from OpenAlex

The scholarly debate about racial profiling in Canada centres on the attack or defence of methods and conclusions. To date, the scholarly literature in Canada has largely excluded the debate about racial profiling as itself a site of inquiry. Focusing on the 2003 Canadian Journal of Criminology and Criminal Justice (CJCCJ) special colloquy that responded to the Toronto Star’s claims that the Metro Toronto systemically engage in racial profiling, I use Agozino’s critique of imperialist reason and Tauri’s concept of authoritarian criminology to demystify how the CJCCJ and its authoritarian respondents engaged in a positivistic agenda setting ‘discursive formation’ rooted in scientific rationality. Further, I draw on the death of (white) sociology tradition to demonstrate that this discursive formation, rooted in the pretensions of scientific rationalism, constitutes both epistemic violence toward the colonized and people ‘of color’ while certifying scientific veracity as an embodied property of White middle class and system serving males. The tactic of criminological and legal positivists in this debate is to disqualify, subordinate, ridicule and ultimately invalidate the truth claims of racial profiling victims.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.191
Teacher spread0.173 · 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.

Study designObservational
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

Citations17
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueDigital Scholarship - Texas Southern University (Texas Southern University)Same topicWildlife Conservation and Criminology AnalysesFrench-language works237,207