Paradise Postponed: A Re-examination of the Green Book Proposals of 1945
Bibliographic record
Abstract
During World War Two, all federal political parties sought to accommodate the growing demand for "welfare state" programs. Mackenzie King's Liberals successfully checked the growth of the CCF by promising a comprehensive program of cradle-to-grave security. After the 1945 election the Liberal government prepared such a program and brought it to a dominion-provincial conference whose purpose was to determine the taxation and administrative arrangements necessary for its implementation. The "conference", which became a series of mini-conferences stretched over nine months, ended without agreement. The federal government blamed recalcitrant premiers in Ontario and Quebec for the conference's failure and abandoned much of the reform program. This article argues that the federal government, in fact, wanted the conference to fail because it did not want to undertake the expenses implied in the reform proposals. After proving inflexible in dealing with provincial criticisms, it cynically and successfully manipulated events to make it appear that the provinces had killed hopes for reform. Post-war prosperity and a declining interest in reform, particularly on the part of the corporate and medical elites, contributed to the federal government's unwillingness to pursue reform vigorously.
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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.022 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.011 | 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".