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Record W232874609

A Response to Hier and Walby's Article: Competing Analytical Paradigms in the Sociological Study of Racism in Canada

2006· article· en· W232874609 on OpenAlexvenueaboutno aff
Frances Henry

Bibliographic record

VenueCanadian ethnic studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRacismSociologyCategorizationRedistribution (election)EpistemologyEthnic groupSocial psychologyGender studiesPsychologyAnthropologyPolitical scienceLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Hier and Walby's 2006 article Competing Analytical Paradigms, published in the last issue of this journal (vol. 38, no. 1), presents a provocative analysis in which two different paradigms used in the study of racism in Canada are identified. I feel compelled to respond to this piece, as I was the first author cited as an example of the paradigm of cultural recognition, which privileges the subjective experiences of human beings. On the whole, the article is interesting and brings attention to what is indeed an important issue in the study of racism in Canada. However, as some important points relevant to the analysis are missing, I feel it is an incomplete examination of this admittedly complex subject. In the first instance, I do not dispute the existence of the two paradigms identified by Hier and Walby, but I would draw some different conclusions based on the research that defines them. These paradigms, which follow the work of Fraser (2003), are the folk paradigms of cultural recognition that identify patterns of inequality as a function of culture and patterns of representation. This differs from the redistribution paradigm, which focusses on the unequal social redistribution of the resources of society. When applied to the study of racism, Hier and Walby suggest that the redistribution model measures the influence of skin colour or other markers of ethno-racial categorization in relation to other social indicators on degrees of social integration ... (90). Whereas ethnicity/race is only one of a variety of variables that influence integration, the cultural recognition model identifies them as the dominant, or primary, influence. It should be noted that these paradigms are themselves integrally related to a much older divide in the social sciences in general, and in sociology in particular. While the subject matter of the Hier and Walby article is the role that these paradigmatic differences play in the study of racism in Canadian society, these distinctions in fact reflect the long standing and contested problem of objectivity and subjectivity, which is at the basis of the more profound issue of value-free science. Related to these basic philosophical or epistemological themes in social science is the question of appropriate methodologies to be used in the study of human social behaviour. I do not think the ideas of value-free science nor the questions surrounding objectivity in research need to be re-visited here; we should all be familiar with them. But I must emphasize that these concerns are often raised in the study of racism, especially by critics who dismiss the so-called soft or largely qualitative research methods that rely on subjective experience. These criticisms are especially crucial in racism studies, because they give rise to the ubiquitous response to what my colleague and I have called the Discourse of Denial (Henry and Tator 2006; Tator and Henry 2006). They lead to the dismissal or minimization of the existence of racism in our society. Such critics often raise the demand for quantification (as in show me the numbers), a strategy that unfortunately guides so much of public policy. This has serious and often negative consequences for enacting appropriate legislation and other public policies designed to increase societal equality and social justice. Thus it is not surprising that many of the studies cited by Hier and Walby as examples of the cultural recognition paradigm largely, but not exclusively, rely on qualitative narrative methodologies and the subjective testimonials of people who are aggrieved, hurt, and disadvantaged by racism. Even such cited studies as that of Ruck and Wortley (2002), who use fairly large numerical samples, still rely on the subjective answers given by their respondents. On the other hand, those identified with the category of social redistribution rely primarily on census or census type data. What then is the message to sociologists and other social scientists when the analysis of census-type data concludes that racial minorities, especially in the second generation, do not experience more disadvantage than others? …

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)0.002
metaresearch head score (Gemma)0.001
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 score0.542
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.094
GPT teacher head0.351
Teacher spread0.257 · 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

Citations5
Published2006
Admission routes2
Has abstractyes

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