Bibliographic record
Abstract
In this note, we provide measures of the effects of high rates of inflation in food pricesand the costs of housing on Canadian households reliant on government-provided income assistance. Inflation puts these households at risk because little of their income is indexed to inflation. That which is indexed to inflation varies by province and by family composition. In most provinces, protection from inflation depends on periodic ad hoc adjustments to income support payments, adjustments that are sometimes separated by many years.A notable exception is Quebec, where nearly full indexation ensures recipients of income support are protected from inflation. In other provinces, the general lack of full indexation means that during periods of inflation, Canadians reliant on social assistance are subjectto two types of risk, one economic and one political. The economic risk is due to the fact inflation threatens to cause them to endure a catastrophic fall in what is already a low standard of living. The political risk arises because in most provinces, whether inflation results in a fall in living standards is entirely dependent upon whether politicians choose to provide periodic, unscheduled increases in social assistance incomes, euphemistically referred to as income “enrichments.” With a single stroke of a legislative pen the political risk can be eliminated and the economic risk minimized. The high rates of inflation currently being experienced add urgency to this consideration. We show that deteriorating health, increased reliance on food banks and rising rates of homelessness are just some of the inevitable consequences of delay.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".