Dan Rodriguez-Garcia. Managing Immigration and Diversity in Canada: A Transatlantic Dialogue in the New Age of Migration
Bibliographic record
Abstract
Dan Rodriguez-Garcia. Managing Immigration and Diversity in Canada: A Transatlantic Dialogue in the New Age of Migration. Montreal-Kingston: McGill-Queen's University Press, 2012. 405 pp. $39.95 sc. The volume contains a first-rate collection of essays on Canada's and Quebec's experiences with immigration and diversity management. It results from a forum that was held in Barcelona that brought together an interdisciplinary group of Canadian scholars and policy practitioners to examine Canada as a case of success that could be emulated in Europe. Its aim is to provide a comprehensive overview of the Canadian model of immigration policy and diversity for both researchers and policy practitioners in Europe (and Spain in particular). In his introduction, editor Dan Rodriguez-Garcia frames the volume as a comparison of Canada with Spain, and Quebec with Catalonia. Nevertheless, with the exception of the introduction and an overview chapter on the Canadian case (chapter 1 by Jeffrey Reitz) that refers briefly to Spain, the comparison is only implicit insofar as it structures the volume's innovative organization. The remaining chapters (2-14) are divided into six sections each containing chapters on Canada and Quebec with the goal of highlighting how immigration and diversity are managed in multinational states like Spain. Thus, although the volume's subtitle suggests a transatlantic perspective, reference to Europe (mainly Spain) is only made in its introduction and very briefly in chapter 1. It invites a transatlantic dialogue rather than records one. Part 1 examines government jurisdiction in the Canadian federation. Peter Li (chapter 2) provides an overview of the (racist) history of immigration legislation and critical analysis of intergovernmental agreements in the immigration field. In chapter 3, Louise Fontaine outlines the division of responsibility in immigration between the federal government and Quebec as established by the Canada-Quebec Accord. Part II deals with the management of immigration flows. In chapter 4, Monica Boyd and Naomi Alboim provide an overview of immigration legislation, policy goals and governance systems. It includes an analysis of the recent legislative changes that enhanced the power of the Minister of Immigration in immigrant selection and processing applications. In chapter 5, Gerard Pinsonneault provides strong empirical support for the effectiveness of the Quebec government's immigrant selection policies in achieving their goal of francization of its immigrant population. Part III covers and the labour market. In chapter 6, Yves Poisson offers the only positive assessment of recent changes in selection policy and practice. He argues that employers as well as cities and communities ought to play a larger role in the process. In chapter 7, Jack Jedwab identifies income gaps between immigrants and the Canadian-born that vary by both province and city. Of particular note is the finding that the income gap between immigrants and non-immigrants is larger in Quebec than the rest of Canada. Part IV considers the themes of citizenship, settlement and socio-cultural immigration. In chapter 8, Myer Siemiatycki develops three periods of immigration in Canadian history arguing that the current era's focus is on a flexible workforce in a securitized state (2000-present) that has undermined the pillars of integration that served to make Canada a success story in immigration (245). In chapter 9, Maryse Potvin focuses on the media's role in inflaming tensions during the reasonable accommodation debate in Quebec. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".