The Fashioning of the <i>Homo Economicus</i> (Economic Citizen): Reflections on Migration and Integration
Bibliographic record
Abstract
This paper critically explores what is meant by integration and the expectations that come with it, and how the ‘right’ kind of economic citizen (homo economicus – defined as the subject of neoliberalism) gets produced through social work practice with immigrants. Specifically, this paper engages in critical reflection on a participant's narrative that is derived from a larger study by probing the expansion of immigrant selection in Canada, the policy of multiculturalism as Canada's most recognized policy as it pertains to integration, and how they coalesce and shape settlement work with immigrants. This paper concludes with a discussion on how to begin to address concerns that surround social work practice with immigrants by way of (a) critical interrogation of neoliberal discourse especially how the interlocking architecture of individualism and capitalism have developed to shape how social workers are positioned and newcomers are constructed (i.e. made into a neoliberal subject); (b) how this could promote the discourse of integration through practice that is embued in discourses of pathology; and (c) how to incorporate social work interventions that are policy related and situated at a macro-systems level.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.075 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.007 |
| 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".