Mobilité socioprofessionnelle et attachement au milieu d'origine chez les immigrants africains francophones de Sudbury (Canada)
Bibliographic record
Abstract
D’une approche qualitative se servant des différentes narrations structurées et conscientes des \ninterviewés, cette étude porte sur la compréhension de l’attachement continuel au milieu \nd’origine dans les expériences de la mobilité sociale des immigrants professionnels africains \nfrancophones installés à Sudbury. \nLes résultats révèlent que la mobilité sociale des immigrants professionnels africains \nfrancophones demeure une trajectoire socioprofessionnelle d’identification à ce qui fait leur \npoint définitionnel et explicatif. Quels que soient les sacrifices et les efforts consentis, leur \naccomplissement socioprofessionnel ne se vit pas de façon individualiste et méritocratique, \nmais solidaire au milieu d’origine. Cette étude inscrit la possible de réaliser l’ascension \nsocioprofessionnelle sans devenir un centrifuge, un névrosé et un déséquilibré socioculturel. \nElle justifie également que les expériences de la mobilité socioprofessionnelle internationale \nmarquées par la discontinuité perpétuelle des liens forts et des profonds déracinements du \nmilieu d’origine sont uniques et singulières à un groupe humain donné.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".