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Record W2109059761 · doi:10.3138/cjccj.53.1.65

Rejoinder to Satzewich and Shaffir on “Racism versus Professionalism: Claims and Counter-claims about Racial Profiling”

2011· article· en· W2109059761 on OpenAlexaffvenueabout
Frances Henry, Carol Tator

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsYork University
Fundersnot available
KeywordsRacial profilingRacismSociologyCriminologyCommitProfiling (computer programming)MythologySubculture (biology)Gender studiesRace (biology)History

Abstract

fetched live from OpenAlex

In their article Racism versus Professionalism: Claims and Counterclaims about Racial (2009), Vic Satzewich and William Shaffir offer a different perspective on the nature of racial profiling in Canada. In doing so, they critique particularly the work of Frances Henry and Carol Tator, David Tanovich, Scot Wortley and other scholars. They also appear to be critiquing qualitative studies that largely rely on the reported experiences of victims who have encountered racial profiling and believe that it exists and is prevalent in policing. These authors believe that the emphasis should be put on the subculture of policing. The importance of this subculture has long been recognized in the sociological literature; and Henry and Tator (2006) acknowledge the of as a crucial element in the dynamic of racial profiling and thus include a substantial chapter on this subject in their book, Racial Profiling in Canada: Challenging the Myth of A Few Bad Apples (92-112). What is often glossed over, however, in studies of police culture is that that culture provides a fertile environment for racism. For example, Harris (2002) argues that the training that police receive encourages stereotypical thinking about particular racial and groups and leads to the belief that skin colour is a valid indicator of a greater propensity to commit crime (11). Through the socialization process, racial biases become fixed ideas and images that are later incorporated into police-department norms. All of this reinforces pre-existing fissures based on race (Harris 2002: 13). Crank (1997: 207) suggests that cultural racism in a police organization is a self-fulfilling phenomenon that can neither be vanquished, perhaps not even contained. We believe that Satzewich and Shaffir (2009) make a contribution to the literature by presenting their own research data based on a study of Hamilton police officers examining how their subculture is being influenced by the demands of policing in multicultural society. They also demonstrate how, today, that police subculture has evolved three discourses with which to deflect allegations of racial profiling. These are the discourse of the intolerance of intolerance, the discourse of multiculturalism, and the discourse of blaming the victim. However, we take issue with some of the points either made or implied in this article. In the first instance, Henry and Tator's work is considered by the authors as far too broad to explain racism or racial profiling either through their concept of democratic racism or through their analysis of the public discourses surrounding it. Their criticism is largely based on the theory's alleged inability to distinguish the intent or motivation of the perpetrators of racism. Henry and Tator (2006) and many other scholars (Tanovich 2006; Chan and Mirchandani 2002; Jiwani, 2002) subscribe to the view that racism/racial profiling is to be judged primarily by its consequences in creating inequality for certain groups. For Satzewich and Shaffir (2009), however, racism/ racial profiling cannot be understood without examining the motivations and intent behind racist actions: It is important to know whether discrimination and social exclusion are driven by intentions and by beliefs that certain groups of people are inferior to others (213). This approach runs directly counter to important court decisions made in human rights law in which racism is determined by consequence to the victim rather than by the intent of the perpetrator, which need not be proved. It is important to remember that, as established by the case law, there is no need to show intent in a case of discrimination since discriminatory effects of the act in question are sufficient (Turenne 2006: 3). The courts have recognized that is unlikely that intent to behave in a racist way and perpetrate racist acts will be successfully proved in court, since very few persons, other than committed bigots, would admit to deliberate racism. …

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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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.267
GPT teacher head0.395
Teacher spread0.128 · 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 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

Citations13
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCrime Patterns and InterventionsFrench-language works237,207