Crafting ‘enterprising’ workers through career training programs among Canada’s South Asian professional immigrants
Bibliographic record
Abstract
In the current post-Fordist, neoliberal Canadian state, the concept of the ‘enterprising self’ has come to define worker-subjectivity and ability to access the labour market. The discourse of entrepreneurialism promotes individual initiatives and resources as the most useful qualities necessary to be successful in the neoliberal labour market. This paper, based on two qualitative research projects examines the mechanism through which enterprising conduct is instilled within immigrants in Canada. In particular, the focus is on South Asian immigrants to take up questions of how racialised immigrants fit into the enterprise culture. This is an area that has remained understudied, despite the fact that immigrants of colour in Canada are consistently pushed towards re-training and re-skilling because of their higher rates of un/under employment in Canada. Informed by the theories of governmentality, the paper highlights two findings; first, it demonstrates how work-related training programs offered by the settlement agencies in Canada advocate the importance of being ‘enterprising’ by harping on discourses of self-sufficiency and personal endeavour to become productive workers; second, the programs implicitly correct or redress immigrants of colour to conform to the hegemonic Eurocentric codes underlying normative citizenship. In foregrounding the experiences of South Asian immigrants, this paper thus explores how the process of neoliberal subject making, particularly in the first world countries, has a racial and cultural undertone. Racism continues to circulate powerfully in the neoliberal era, reordering existing modes of inclusion and exclusion which, having been relegated to the realm of private choice becomes difficult to pinpoint.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".