Bibliographic record
Abstract
ASYLUM CLAIMANTS PROCESSED IN CANADA Number of asylum claims processed in Ontario, Quebec, rest of Canada and the entire country, over the period of 2000 to 2017 Recently, the number of asylum-seekers – people applying for refugee status at the Canadian border (as opposed to individuals claiming refugee status from their country of origin) – has attracted a great deal of media attention. The focus has been on the recent unexpected influx of asylum-seekers crossing the border from the U.S. into Manitoba and Quebec. The federal government has made an assertion that Canada can handle the surge in newcomers. However, it is provincial or municipal governments, and in particular local social agencies, in a municipality in which the claim is being made, that are responsible for allocating the necessary resources to handle the surge in asylumseekers. This is important for understanding the potential impact it may have on the agencies’ ability to provide those individuals with the required assistance and other support.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".