Impact des facteurs subjectifs sur les stratégies d'apprentissages des immigrants roumains qualifiés qui vivent un déclassement professionnel
Bibliographic record
Abstract
Malgre des niveaux de scolarite eleves, bon nombre d’immigrants eprouvent des difficultes a trouver un emploi selon leurs diplomes (Statistiques Canada, 2005). A un premier regard, il pourrait sembler que les communautes d’origine europeenne se heurtent a des obstacles moindres que d’autres communautes. L’exemple de la communaute roumaine prouve, au contraire, que les difficultes d’integration sont comparables. Afin de mieux comprendre ces difficultes d’integration, cette recherche analyse l’impact de differents facteurs subjectifs sur les strategies d’adaptation socioprofessionnelle des immigrants qui vivent un declassement professionnel. Ainsi, l’adoption d’une methodologie quantitative a ete necessaire pour repondre a la question de recherche. Appuyee sur un cadre theorique qui inclut les concepts de privation relative, d’estime de soi et de strategies d’acculturation, cette etude a ete menee aupres d’un echantillon constituee de 112 immigrants roumains de la region d’Ottawa-Gatineau. Les resultats obtenus illustrent l’impact de differents facteurs subjectifs sur les choix des strategies d’adaptation socioprofessionnelle. D’une part, l’immigrant roumain qui vit de la privation roumain qui a un bon niveau d’estime de soi augment sa confiance en soi; celle-ci semble l’aider a orienter ses efforts d’adaptation vers des apprentissages nouveaux.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".