Mirrored Social Representations of Canadian Caseworkers with Migratory Paths Intervening with Refugees in the Host Country
Bibliographic record
Abstract
In 2015, the resettlement of 25,000 Syrian refugees in Canada placed a strain on social services. Caseworkers employed in these agencies often come from similar migratory trajectories to those of the refugees. This experiential proximity requires an understanding of the subjective perspectives that caseworkers with migratory paths have of refugees in the context of their professional practice. We analyzed fifteen individual interviews with Canadian caseworkers and conducted field observations of resettlement activities in the Ottawa-Gatineau region using inductive reasoning inspired by grounded theory. Adopting a sociogenetic approach to social representation theory, this qualitative study illustrates how the social representation of refugees among foreign-born caseworkers is highly informed by their migratory past experience, as well as by the social identity and social context from which that representation was socio-generated. Our analysis reveals the mirror effect of the caseworkers as a fruitful concept for understanding the identity-otherness dynamics in the encounter between the distant other (refugee) and the self.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.027 | 0.019 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.007 |
| 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".