Filipino youth professionals in Alberta, Canada: shaping gender and education landscapes?
Bibliographic record
Abstract
Logics of power and space: youth, gender, and migration In this chapter, the narratives of three Alberta-based Filipino youth are analyzed based on the logics of power and space operating through age, gender, and migration; neoliberalism in the economy and education; and their experiences as professionals vis-à-vis the credentialing process in Canada. The narratives explore whether there is a link between neoliberal Alberta's educational framework and gender preference with regard to migrants, and the migrants’ foreign-trained professional skills and their jobs in Alberta. The narratives likewise determine how this educational framework impacts and is impacted by age, gender, and a foreign-obtained higher education. The narratives come from Filipino youth professionals, aged 15–30, who earned their university degrees in the Philippines before migrating to Alberta. Generally, this chapter explores the relations among gender, Philippine education, and the neoliberal economy in Canada. Through Critical Theory and the use of power and spatial logics, this chapter uncovers as white dominance the narratives of decredentialing and reskilling of highly skilled Filipino youth migrants in Alberta, which limit the migrants’ basic human right to global mobility. Critical Theory is an informative tool that exposes structural, historical, prescriptive, and powerful constraints on human action and choice (Habermas, 1987 [1981]; Dean, 1994; Peet and Hartwick, 2009). Similarly, logics of space and power fuse in global migration, and evolve into dynamics of neoliberal policy regimes in education and labor that mark decredentialing and reskilling of Filipino youth as oppressive and unnecessary consequences of their choice and right to mobility. The logic of space corresponds to the location where labor power—in quantitative, physical, locational, productive, skills, attributes, and value terms that complement the capitalist work process—is reproduced (Harvey, 2010). Spatial logics in global migration, in this chapter, consist of (1) the household of family members, with constructions of gender and sexuality, and as associated with the role of, for example, Filipino parents aiming for higher education (Nielsen, 2013) or even influencing their children's choice of university degree, and (2) the state or the government “within a defined territory that claims the monopoly of legitimate force for itself “ (Weber, 2007, p. 156). The spatial logics of the household and the state both put importance on education and complement Canada's growing market need for highly skilled labor.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".