Expériences de reconnaissance professionnelle de sept assistantes et assistant de service social français devenus travailleuses et travailleur sociaux au Québec
Bibliographic record
Abstract
Each year, many French professionals choose to immigrate to Québec. Among them are social service assistants wishing to pursue their careers as Social Workers in Quebec. However, several issues of recognition arise during their journey that leads them to integrating Quebec professional setting. The re-analysis of interviews conducted in the context of research project led by Pullen Sansfaçon, Brown and Graham (SSHRC 2011-2012, SSHRC 2012-2015) allows us to explore the experiences of recognition and denial of recognition experienced by seven french social workers during their professional adaptation in Quebec. The theoretical framework of recognition developed by Axel Honneth reveals that they have experiences of recognition and denial which are visible at three different level, that is emotional, legal and social. Results from the analysis highlight that to be recognized, it seems essential that those French professionals swiftly gain the right to practice, that their skills are recognized, and that they receive support and approval in their workplace. More specifically, this study stresses the importance of having the right to practice as soon as possible, the availability of training adapted to their specific needs before and during the integration into their new practice in Quebec, and being in a welcoming and supportive atmosphere in their workplace. The role of institutions around the integration of French Social Workers, such as government agencies, OTSTCFQ and practice settings are essential to put in place the conditions favoring this recognition. Overall, the participants reported they experienced more professional recognition in Quebec than in France.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".