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Record W320847814

Competing Analytical Paradigms in the Sociological Study of Racism in Canada

2006· article· en· W320847814 on OpenAlexvenueaboutno aff
Sean P. Hier, Kevin Walby

Bibliographic record

VenueCanadian ethnic studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRacismSociologyHumanitiesEthnologyPolitical scienceGender studiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT/RESUME: Whereas many scholars continue to offer studies that lay claim to the pervasiveness of or racism in Canada, a growing body of evidence contests the extent to which the categories of race and/or ethnicity function as categorical determinants of the inequitable distribution of services and resources in Canada. We seek to bring greater clarity to these competing claims by demonstrating different analytical assumptions in sociological research produce inconsistent knowledge about racism in the country. We enact two ideal-typical folk paradigms to problematize the decoupling of reductive and essentializing research interventions. We do not attempt to render a verdict on how much racism exists, but rather to develop one set of explanations to account for cleavage in the sociological study of racism in Canada. We conclude by encouraging a critically reflexive research agenda able to account for the multidimensional realities of racism in Canada. Bien que beaucoup de chercheurs continuent a offrir des recherches declarant que le racisme de l'institution ou du systeme se trouve partout au Canada, de plus en plus l'evidence se dispute dans quelle mesure servent les categories raciales ou ethniques de fixer la distribution injuste des services et des ressources au Canada. Nous cherchons a eclaircir ces demandes qui concourent en montrant comment des suppositions analytiques differentes dans les recherches sociologiques produisent du savoir inconsistant sur le racisme au Canada. Nous mobilisons deux paradigmes folkloriques ideals-typiques afin de problematiser le decouplage des recherches qui diminuent et qui essentiellisent. L'article ne tente pas a determiner la quantite de racisme, mais il developpe une serie d'explications afin d'expliquer cette division dans les recherches sociologiques du racisme au Canada. Nous finissons en encourageant un programme de recherche critique qui peut expliquer les realites multidimensionnelles au Canada. In spite of the historical and contemporary evidence of racism as a pervasive and intractable reality in Canada ... citizens and institutions function in a state of collective denial ... [i]n recent years, racism has received increased attention. Racial unrest in Vancouver, Toronto, Montreal, and Halifax and demands of racial minority communities for greater participation in Canadian society have become difficult to ignore. Henry, Tator, Mattis, and Rees 2002, 1-2 Canada remains one of the most desirable countries of immigration for most of the poorer and conflict-ridden countries. The largest Canadian cities have become functioning and tolerant multiethnic communities, the envy of most urban areas elsewhere. Canadian institutions and laws reflect an inclusiveness that appeared utopian half a century ago. This is not to suggest that Canadian society is free of problems.... But in spite of the problems, Canada is a success story. Levitt 1997, 47 THE PROBLEM In the final installment of his trilogy on punishment and control in modern societies, David Garland (2001) draws from Michel Foucault to argue that if critical theory is to be taken seriously, it will have to first engage with things as they are. In the sociological study of racism in Canada, things actually are is a contentious matter. Analyses concerned with racism have diverged into two discernible, albeit oversimplified, directions. On the one hand, many sociologists continue to offer studies that lay claim to the pervasiveness of or racism, invoking a standard set of concomitant assumptions pertaining to the totality of ethno-racial exclusions, restrictions, and material inequities. On the other hand, a growing body of evidence contests the extent to which systemic barriers restrict the full and equal institutional participation of all members of all ethno-racial minority groups in Canada. …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.143
GPT teacher head0.361
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2006
Admission routes2
Has abstractyes

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