La communication interculturelle dans le cadre de la promotion de l'immigration des ressortissants français au Québec
Bibliographic record
Abstract
Every year since the early 2000s, about 3,500 French citizens settled in Quebec under a permanent resident visa. The French citizens are immigrants of choice for Quebec, since their income revenues are in fact higher than the national average income, and they also benefit, since 2008, from a greater recognition of their diplomas obtained in France. In fact, French candidates seem to gather all the conditions to settle and integrate in a sustainable manner in the “Belle Province”. However, the studied phenomenon - namely the return in France of the French immigrants - is not so new. Indeed, in 2013 according to the Ministry of Immigration and Cultural Communities, France is the leading country of birth for recent immigrants (economical sector) in admissions. Nevertheless, French immigrants are also the most likely to return to France or to continue on their migration route. The communication and intercultural relations during the pre-migratory phase can influence the future immigrants to either settle temporarily or permanently. But how can this intercultural communication influence future immigrants about their desire to migrate, prepare their migration plans, and their integration? What may be the influence of this intercultural communication within the integration process and the development of a sense of belonging towards the host society? The progressive construction of the Promised Land and the migration imaginary also determine either the success or failure of immigration
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".