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Record W2294475865

The Colourless World of Mann

2016· article· en· W2294475865 on OpenAlexaffabout
David M Tanovich

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSupreme courtCharterSuspectLawRacismRace (biology)Political scienceRacial profilingCriminologySociologyPsychologyGender studies
DOInot available

Abstract

fetched live from OpenAlex

In R v Mann 2004 SCC 52, the Supreme Court of Canada set out an approach to investigative detentions under sections 8 and 9 of the Charter. The Court held that the police can conduct an investigative detention where they have reasonable suspicion to connect the individual to a recent or ongoing crime. The Court also held that the police can conduct a pat-down where they have reasonable grounds to believe that the person is armed. The Court's attempt to regulate these low-visibility encounters was important. However, it missed a critical piece of the story. Like so many of those subjected to investigative detentions in Canada, Mann was Aboriginal. The case provided the Court with an opportunity to explore the relationship between race and race-based suspect descriptions and race and detention under the Charter. This piece attempts to fill in for what is missing from the Supreme Court's analysis and also highlights why it is essential for race and systemic racism to be factored in when thinking about the reasonable suspicion threshold that justifies investigative detentions.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.167
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.022
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.347
Teacher spread0.323 · 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
Published2016
Admission routes2
Has abstractyes

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