What Does it Mean to be a Montrealer? Multiculturalism, Cosmopolitanism and Exclusion Identity from the Perspective of Montreal's Ethnocultural and Linguistic Minorities
Bibliographic record
Abstract
This thesis explores the meaning of the Montreal identity from the perspective of Montreal's ethnocultural and linguistic minorities. Generally speaking, it is commonplace for authors in the academic literature on Montreal to describe the city and its identity in terms of its multicultural and cosmopolitan sensibilities. While this forms part of what it means to be a Montrealer, this is not the only significance that this project accounts for. In examining the opinion sections of the Montreal Gazette from the period of September 4th, 2012 to the period of April 7th, 2014 ̶ a period that coincides with the Parti québécois' eighteen months in power under the leadership of Pauline Marois ̶ this thesis reveals that the meaning of the Montreal identity is tied to both the aforementioned multicultural and cosmopolitan sensibilities, as well as a sentiment of exclusion rooted in an ethnic interpretation of the Québec nation. Accordingly, this research also shows how these aspects of Montrealness contribute to the building of a Montreal identity that is meant to be distinct and even opposed to Québec identity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.030 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".