Translating social policy ideas: The Beveridge report, transnational diffusion, and<scp>post‐war</scp>welfare state development in Canada, Denmark, and France
Bibliographic record
Abstract
Abstract In the history of social policy in advanced industrial societies, the 1942 Beveridge Report stands as one of the most influential government‐sponsored reports ever published. In this article, we explore how the principles and the policy proposals formulated in the report diffused to other countries and how domestic actors adapted them to their local context through policy translation processes. The social policy ideas that Beveridge put forward in his 1942 report influenced post‐war policy debates in ways that varied greatly from country to country. To illustrate this claim, we analyse the reception and policy impact of this report over time in three different welfare states: Canada, Denmark, and France. This comparison shows how Beveridge's ideas influenced policy debates in different countries through translation processes that adapted these ideas to each country's institutional and political context.
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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 | 0.033 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.013 | 0.021 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".