Perceptions of Hochelaga-Maisonneuve Neighborhood in Montreal: a Textual Analysis of Written Medias.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A number of authors have documented increased diversification and gentrification in a variety of central city neighborhoods. In Montreal, Hochelaga-Maisonneuve is among those with the highest rates of gentrification in the past few decades, creating new social dynamics and often generating socio-territorial conflicts.
 What is the significance of social changes for the population of Hochelaga-Maisonneuve? What role does recent immigration play in the mitigation or development of social conflict? In this paper we present the results of the analysis of 1 420 articles taken from the six principal daily newspapers published in Montreal.
 In our target neighborhood, it would appear that the higher socio-economic status of the newcomers is more disruptive than their ethnocultural background because it is associated with a change in the way people live, shop and interact in public space. The data also reveal disruptive effects on the availability of affordable housing, a feature that means increasing displacement of lower income populations.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it