Le cas Constantinople. Historique, identité musicale et enjeux de la professionnalisation des musiciens migrants
Bibliographic record
Abstract
La notion de professionnalisation appliquée aux musiciens migrants pose plusieurs défis en sociomusicologie, car elle combine l’impossibilité d’établir un profil de carrière valable pour tous en musique à la nécessité de prendre en compte plusieurs dimensions autres que strictement socioprofessionnelles pour bien appréhender le processus d’insertion de l’artiste dans son nouvel environnement. C’est à Montréal que cette étude fut menée auprès de la formation Constantinople qui fait appel à plusieurs musiciens nés à l’extérieur du pays. L’article visera d’abord à retracer les trajectoires individuelles des musiciens migrants Didem Basar, Liu Fang, Kiya Tabassian et Ziya Tabassian depuis leur arrivée dans la métropole. Puis, il sera question de professionnalisation à travers la reconstitution de l’histoire de Constantinople. Ceci permettra de comprendre comment l’ensemble s’est structuré et affirmé au sein de la vie musicale québécoise, et comment il a agi comme espace de recherche d’une identité musicale pour ses membres.
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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 | 0.017 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".