Pratiques informationnelles des immigrants récents en recherche d'insertion professionnelle au Québec
Bibliographic record
Abstract
Cet essai porte sur un de projet de recherche partenarial entre une équipe de recherche du Centre UCS de l’INRS, dirigée par la professeure Nicole Gallant, et une équipe de professionnelles du MTESS. Le mandat de l’équipe de recherche était de mieux comprendre et de documenter les pratiques informationnelles des immigrants récents (adultes et jeunes adultes) et des jeunes adultes natifs en recherche d’insertion professionnelle au Québec. En intégrant l’équipe de recherche, l’objectif de ce stage était double : travailler en tant qu’assistante de recherche et expérimenter le rôle d’agent d’interface. \nPour le volet « recherche », il s’agissait d’alimenter les connaissances scientifiques sur les pratiques informationnelles des immigrants récents. Nous verrons que les pratiques informationnelles des répondants de notre étude sont largement tournées vers le réseau social, Internet et les organismes d’aide à l’insertion en emploi, mais à différents degrés, qui dépendent en grande partie du niveau de scolarité et de la connaissance du marché du travail au Québec. \nPour le volet « mobilisation des connaissances », il s’agissait d’observer et de mettre en pratique différentes facettes du rôle d’agent d’interface. Au cours de ce stage, j’ai ainsi observé le rôle d’agent « de liaison » entre le milieu scientifique et celui de la pratique, ainsi que participé à diverses activités de transfert et de diffusion des résultats. \nÀ la fin de cet essai, je propose une réflexion critique sur les principaux concepts abordés à la maîtrise PRAP, à travers un bilan critique de mon stage. Je souhaite entre autres démontrer qu’un agent d’interface issu du milieu scientifique est des plus pertinents dans le cadre d’un projet de recherche partenarial avec un milieu d’action, que ce projet s’insère dans un processus de mobilisation ou de co-construction des connaissances. This report is about a partnership research project between a research team, led by Professor Nicole Gallant, from the UCS Center at INRS and a team of MTESS professionals. The mandate of the research team was to better understand and document the informational practices of recent immigrants and young adult native-born Quebecers seeking professional integration in the province of Quebec. By joining the research team, the goal of the internship was twofold: to work as a research assistant and to experience the role of interface agent. \nFor the “research” component, the goal was to provide scientific knowledge on the informational practices of recent immigrants. We will see that the informational practices of the respondents in our study are largely focused on their social network, the Internet and employment insertion organizations, but to varying degrees, which depend to a large extent on the level of education and knowledge of the labor market in Quebec. \nThe “knowledge mobilization” component involved observing and applying different facets of the functions of an interface agent. Throughout this internship, I thus observed the role of "liaison" agent between the scientific and the practice communities, as well as participated in various activities of knowledge transfer and dissemination. \nIn the end, I offer a critical reflection on the main concepts addressed in the PRAP Masters program, through a critical review of my internship. Among other things, I wish to demonstrate that an interface agent from the scientific community is most relevant in the context of a partnership research project with a non-scientific actor, whether this project is part of a process of mobilization or co-construction of knowledge.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".