Towards the Pluralist City? Distribution and Localisation of Visible Minorities in Montréal, Toronto and Vancouver in 2001
Bibliographic record
Abstract
This working paper resumes the text and slides that were presented at the Tenth National Metropolis Conference, held in Halifax in April 2008. The paper was presented during a workshop session called New Immigration Neighbourhood. That workshop was organized by Annick Germain, Professor at INRS-UCS (Montréal), and Director of the Quebec Metropolis Centre. I’m particularly grateful to her for inviting me at this event to present results from my recent research on immigration and neighbourhood. The paper is part of a research project financed by the Quebec Metropolis Centre. The main purpose of this project was to describe and analyze the housing conditions of newcomers, in relation with their individual characteristics and the larger context of urban dynamics. The data used in this presentation were provided by Statistics Canada by way of the Metropolis Project. The author wants to give a special thanks to Jacques Ledent, professor at INRS-UCS (Montréal), and president of the Committee on data for the Quebec Metropolis Centre. The author would also like to thank all the members of this committee. Without their work, it would have been much more complicated to gain access to useful datasets. Finally, any person interested to have more information on this project can contact me by e-mail (xavier.leloup@ucs.inrs.ca). It would be my pleasure to answer any question or to discuss new development for this kind of project.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".