La contestation des espaces gais au centre-ville de Montreal depuis 1950 /
Bibliographic record
Abstract
Urban spaces and their meanings are continually reinvented by daily life and representational practices. Public spaces provide an avenue to analyse the construction and contestation of political and social power in the city. The geography of Montreal's gay men's communities underwent profound changes during the 1980s. The traditional gay areas of the downtown core and the "Red Light" districts have disappeared in favour of a new gay quarter, the Village. This transformation raises questions about the exercise of power in space since the heart of the gay neighbourhood and the downtown area were one in the same. The accumulated symbolism of downtown Montreal was contested and subverted by the growing visibility of sexual minorities. This analysis of urban space reflects a transformation in public discourse that evolved from a tight control of morals, to the confinement of private morality to private spaces, and finally to the constitution of a discourse centered on human rights. A variety of qualitative methods including interviews and documentary sources, such as the community press, have been used to show the political dimension of public space and the manipulation of the symbolic economy allowing the establishment of rights to urban space. Dominion Square is the spatial focus around which collective and social phenomena have been analysed. The impacts of these phenomena on our collective imaginations have been reconstructed. The transformation of central urban space by modernist architecture and urban functionalism, reconfigured public spaces in the downtown core, along with its definitions, its representations and its control. A mapping of gay geographic imagination shows the importance of sexuality, language, social class, religion and national identities in the development of a sense of belonging in space. It has been shown that gay geographic imagination is necessarily linked to other aspects of identity and diverse manifestations of power. This imagination questioned the privileged representations of hegemonic social values through the practices of daily life, the subversion of the meaning of space and political protest. Police repression showed itself to be only one of the strategies used by the municipal establishment in its censorship practices.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".