Ethnification and Recredentialing: Alberta’s Undelivered Promises to Global Migrants from China, India, and the Philippines (2008-2010)
Bibliographic record
Abstract
My study 1) compares the human-and-social capital of three major global immigrants (Chinese, Filipinos, Indians) in Canada (Alberta) with the education policies of their respective home countries; 2) looks at the possible link these policies might have with Alberta’s neoliberal policy of education privatization; and 3) examines how this link shapes or is shaped by broader political, economic, and social policies of international organizations. Framed with critical social theory and critical theory, my social theoretical model is juxtaposed with the historical-comparative research that uses the present time, single nation, qualitative data collection technique across three different ethnies (Chinese, Filipino, Indian) in Canada (Alberta) in 2008-2010. Relevant political, economic, and educational and labor policies of the four country-sites and those of the international organizations are analyzed. I use ethnomethodology in examining participants’ ethnomethods. I base my analyses and discussions on the narratives of Chinese, Filipino, and Indian landed immigrants in Alberta. Participants’ narratives yield interesting plots complementary to my study assumptions: 1) Canada’s accommodation of these immigrants through decredentialing and recredentialing, ethnification, linguistic prejudice, and racialization of education and labor comprises the major plot in international movements and relations; 2) changes in the nature of Chinese, Indian, and Philippine societies plus these countries’ higher education policies and labor market practices that serve as the push factors in international migration are complicit in a global circuit of oppression; 3) continuing colonialism in the supraterritorial regime of neoliberal globalization impacts on the global migrants: deregulation of market dynamics, development's inability to deliver its promise of a quality of life for most people, fascism of insecurity, global market-determined economy, hyper-marketization of social life, increasing incongruence of the functions of social emancipation and social regulation, liberalization of cross-border transactions, privatization of assets and social services, regulation of peoples and economies, and sovereignty of the market. I formulate policy alternatives to Alberta’s undelivered promises of democracy, justice, peace, and prosperity, and show that study participants – faced with a spectrum of freedoms and constraints – actively engage in the making of their preferred social order.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".