Niveaux et raisons du sans-abrisme chez les Francophones dans le nord de l’Ontario
Bibliographic record
Abstract
La prévalence du sans-abrisme et ses conséquences sociales, économiques, culturelles, ainsi que celles sur le plan de la santé constituent toujours un problème pour les gouvernants et les intervenants dans ce domaine. Cependant, il demeure difficile de définir le sans-abrisme, de dénombrer les sans-abri ou díestimer leur population et de déterminer la méthode appropriée pour étudier le sans-abrisme. En utilisant les données du projet P auvreté , sans-abrisme et migration (2011), nous avons étudié les niveaux, expériences et raisons du sans-abrisme chez les Francophones à Timmins et à North Bay et nous les avons comparés à ceux des Anglophones et des Autochtones de ces deux communautés.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".