The centrality of neoliberalism in Filipina/o perceptions of multiculturalism in Canada and the United States
Bibliographic record
Abstract
My research focuses on how Filipina/os respond to stigmatisation in Canada and the United States and how those responses are impacted by neoliberal ideology and perceptions of multiculturalism. The research uses in-depth interviews of 58 Filipina/o students in Toronto and Los Angeles to analyse the cultural repertoires available to them that enable or constrain a sense of belonging. Canada offers federally funded multicultural policies toward immigrant settlement and ethnic institutions, compared to the informal approach to multiculturalism in the United States. Nonetheless, the interviewees report that Filipina/os experience stigmatisation on a group level despite efforts to ‘fit in.’ I argue that the dual forces of Western neoliberalism and past colonisation in the Philippines influence tendencies toward either a decolonisation discourse that criticises social structures or a neoliberal discourse that focuses on agency. Perceptions of multiculturalism affect which tendency Filipina/os rely on to mobilise destigmatisation strategies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".