The Impact of Policy Changes on the Healthcare of Asylum Seekers and Refugees in Ontario
Bibliographic record
Abstract
ABSTRACT Access to healthcare is an essential entitlement of every individual, but asylum seekers and refugees frequently need help in obtaining this access. The Canadian Interim Federal Health Program (IFHP) delivers vital healthcare services to these vulnerable groups. Founded in 1957, the IFHP has undergone numerous essential policy changes, including the cutbacks in 2012 and the subsequent restoration 2016. The 2012 reductions significantly curtailed healthcare availability for asylum seekers and refugees, resulting in extensive criticism and lobbying efforts from healthcare practitioners, non-governmental organizations (NGOs), and refugee advocates. As a result, the Liberal government reinstated the IFHP in 2016, intending to restore complete healthcare coverage for these groups. This study evaluates the efficacy of the 2016 restoration of the IFHP in improving healthcare accessibility and outcomes for asylum seekers and refugees in Ontario. This study aims to analyze the direct and indirect effects of the policy shift to determine if the restoration has effectively resolved the obstacles to healthcare that emerged during the period of reduced coverage. This research uses the Multiple Stream Framework (MSF) to examine the problem, policy, and the political streams to investigate the implementation, execution, and consequences of the 2016 IFHP restoration. This study's findings will provide valuable insights into the achievements and current difficulties of the IFHP, therefore adding to the broader discussion on healthcare policy for asylum seekers and refugees in Canada. This study highlights the significance of implementing fair and uniform healthcare regulations that guarantee the welfare of every individual, irrespective of their immigration status.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".