‘What is to be Done?’: The Hegemony of Solutions in Immigrants’ Labour Market Integration
Bibliographic record
Abstract
The logic of remedial training as the panacea to immigrants’ labour market integration is strongly entrenched in Canadian state policies and practices of integration. I envision this paper as a response to and refusal of this powerful stasis. I suggest integration has been enthralled by a dogged appeal to solutions that needs to be disrupted to engage with another important but neglected analytical consideration, i.e., how the hierarchy between trainee immigrant and competent Canadian worker subjects produces Canada as a nation of superior standards, and yet also, as one which offers benevolent support for those struggling to meet these standards. The dual claims of epistemic superiority and benevolent care is in sync with older Canadian nationalist narratives of recruiting immigrants for labour and expelling them from citizenship. However, we start to notice this dynamic only if/when we move beyond solution orientation and start attending to the kind of nation formation that training remedial interventions effectuate.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".