Expanding Policy-Based Conceptualizations of ‘Successful Integration’: Negotiating Integration through Occupation following International Migration
Bibliographic record
Abstract
The immigration of French-speakers to Canada and their successful integration into Francophone minority communities has become a priority for the country's federal government. A critical ethnography served to challenge assumptions regarding successful integration embedded within government documents and to raise awareness of the challenges faced by French-speaking immigrants from visible minority groups residing within London, Ontario, Canada. A theoretical framework applying Goffman's concept of performance and Bourdieu's concepts of field, habitus, and capital guided the study. Eight migrants participated in up to five sessions including narrative and in-depth interviews, Occupational Mapping, and participation in occupations. Findings highlight that integration involves a process of ‘starting over,’ which entails becoming aware of differences in fields and habitus within and between home and host societies, learning ‘how things work’ in the host community, and negotiating performances in social interactions. This negotiation, enacted primarily through occupation, is influenced by differential access to forms of capital. It is further related to ways immigrants' intersecting identity markers are constructed within particular places and embedded in broader social systems and structures. These findings challenge the linear and individualized process of integration identified within government documents, and the narrow focus on economic productivity as the occupation-based marker of integration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.065 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| 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".