Micheline Labelle. Racisme et Antiracisme Au Quebec. Discours et Declinaisons
Bibliographic record
Abstract
Micheline Labelle. Racisme et antiracisme au Quebec. Discours et declinaisons. Montreal : Presses de l'Universite du Quebec, 2010. 212 pp. $29.00 sc. This book purports to offer an of state's on racism and anti-racism, as well as position adopted by a few NGOs and citizens who submitted to 2006 public consultation on government policy project designed to fight against racism. The book reviews numerous extracts from these discourses;' round in various public policies and briefs. The author's main objective is to soundness of certain agreed-upon (conventional) ways to approach problem in Quebec (158). Despite book's attractive title and objectives, it exhibits important flaws and omissions, three of which are, in my view, significant: 1. The first one is lack of conceptual framework for analysis in a work that proposes to analyze discourses on racism and anti-racism. Discourse analysis covers a vast multidisciplinary field, that comprises numerous approaches and theoretical debates (Foucault's theory on Habermas's ethics, etcetera). 2. The second one is book's ambition to cover the State's discourse during 2000s--the State comprises many levels of government, normative powers (executive, legislative, judicial), institutions and actors--while it only analyzes governmental discourse, from a few recent provincial policies. Hence, one can question book's choice of ministries and institutions, of NGOs and citizens, because there is no justification of selection criteria. Why were Ministry of Education and Ministry of Health excluded, given that they have adopted policies that concern racism and anti-racism? Why exclude of intellectuals, of researchers or even that of media surrounding 2006 consultation? Why limit one's to 29 out of 124, when author submits, in conclusion, that a strong consensus emanated from all 124 briefs (157)? Consequently, there are astonishing omissions regarding problematization of racism and anti-racism in Quebec. When author describes issues and theoretical debates, she fails not only to mention issues that arise from ethnic and power relationships specific to Quebecois context, but also issues that are specific to research on this question. The author's survey of literature, focused on American and European documentation, cannot provide theoretical and historical context in Quebec, and international issues, although relevant, cannot shed light on reasons underlying different positions that emanate from various discourses in Quebec, nor on how they were expressed. Labelle fails to mention views expressed by researchers since 2000s concerning government's especially recent that puts into perspective strengths and weaknesses of government's on racism (e.g., Marhraoui, McAndrew, Potvin). A more inclusive reading of research in would have allowed her to avoid certain misleading statements on the authors (which ones?) who, she states, analyze neo-racism while negating social representations that are linked to colonial racism, who confuse anti-racism and managing diversity, who adopt an overly extensive (or intersectional) approach. …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".