Bibliographic record
Abstract
Curfews can be described as spatial and temporal borders that exclude and restrict mobility. During certain hours, the mere presence in a certain place, most often public spaces, is illegal, even if one has not done anything wrong. Curfews were imposed twice in Quebec since January 2021 (for a period of almost six months in total), allegedly to limit contacts and stop the COVID-19 virus transmission. But this spatiotemporal public health measure rapidly became a repression tool. A very large number of statements of offence, with associated fines and fees amounting to $1,550, were issued by the police for alleged curfew violations. In this chapter, we will draw both on quantitative data on the judicialization of the pandemic in Quebec and on qualitative data on the impact of the pandemic on homeless people to shed light on the socio-legal effects of the curfew, which seem to have been in the blind spot of Quebec authorities. If everyone was affected by the curfews, marginalized people, and especially homeless people, suffer disproportionately its consequences and its enforcement.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads agree on what is shown here.
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".