Policy Forum: Crisis, Cleanup, and the Prospect of Long-Term Fiscal Change
Bibliographic record
Abstract
In this article, Shirley Tillotson compares policies adopted by the Canadian government to address the fiscal demands of the Second World War with a widely available income-assistance measure introduced in 2020 in response to the COVID-19 pandemic. She also discusses elements of post-war tax administration with an eye to parallels that can help us to think about our current situation and plans for the near future. Emphasizing the great difficulties and worries that burdened decision makers in the earlier period, Tillotson underscores the need for modesty in our expectations and urges attention to both contingencies of the moment (such as the life experience of key decision makers) and the longer-term structural dynamics at play (such as changes in the composition of the labour market).
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.023 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.014 | 0.010 |
| Insufficient payload (model declined to judge) | 0.020 | 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".