Construction of the Ukrainian identity in a neighbourhood: the role of the host society. Example of the Parc de l’Ukraine in Rosemont, Montreal.
Bibliographic record
Abstract
The Parc de l’Ukraine (Ukraine Park) located in the neighbourhood of Rosemont, Montreal, acquired its Ukrainian toponym in 1981 and began its replanning in 2017 which consisted of the upgrading of equipment and of the addition of Ukrainian symbols. These symbols were chosen to bring out the Ukrainian identity of the park and of the neighbourhood. During the replanning, relations were established between the Ukrainian community of Montreal and municipal governing bodies who each enunciated discourses in this context. Based on discourse analysis and using the Ukrainian community of Montreal as an example, this article will focus on the role of the host society at a municipal scale, meaning municipal governing bodies, in immigrant identity construction processes. It will look at the interrelationships between ethnic associations and the representatives and professionals of a city, during the replanning of an urban park. This article will demonstrate that the host society (municipal governing bodies) can instrumentalize immigrant communities to promote a specific identity of the city that varies according to various spatiotemporal contexts and more specifically that the neighbourhood of Rosemont has been at the centre of construction processes through which it has acquired a symbolic value as the Ukrainian neighbourhood of Montreal. Such processes have relied on the one hand, on Ukrainian associations, and on the other hand, on Montreal’s governing bodies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".