Income Support for Persons With Disabilities
Bibliographic record
Abstract
Alberta, British Columbia and Ontario all maintain separate income-support programs for the disabled. This paper examines the criteria applicants must meet for each program and traces variations in monthly payment levels in relation to political exigencies and inflationary pressures affecting the cost of living. As it is impossible to settle on a definitive way to measure poverty, the authors present several proposals and compare all of them with the income recipients realize from each of the three programs. While acknowledging that the precise level of income support for the disabled is ultimately a value judgment, they suggest that the existing income-support program provided by the federal government for impoverished seniors is a suitable baseline. The authors crunch the numbers to reveal the amounts Alberta, BC and Ontario would have to spend to bring their existing income-support programs for the disabled up to the level of similar programs for seniors. Finally, they recommend that governments index income support for the disabled to inflation. Governments already take inflation into account for taxpayers and seniors and the authors believe the disabled should not be treated differently.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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".