A Tale of Two Recipes: Well-being Policy Comes to the Western Capitalism Rescue in the (Post-) Trump and (Post-) COVID-19 Era
Bibliographic record
Abstract
Summary The neo-authoritarian “Trump Era”-induced political problems have been aggravated further by the coronavirus that triggered an economic slowdown. The new landscape put Western capitalism, international cooperation, and European integration at risk. This contribution shows similarities and differences in policies dealt with the recessions of 2008 and 2020 on both sides of the Atlantic, with a focus on the EU and Canada. It examines the rising popularity of the welfare state concept applied both to individuals and industries particularly in the EU, for which the protection of citizens’ well-being and solidarity values are at the bloc integration’s core. Ideologically opposing solutions for those crises reflect a fundamental shift in policymaking, reinforcing state interventions policies vs neoliberal approach to the extent of intensified discussions of a universal basic income notion as a response to the inequalities. The article highlights the need for multi – and cross-disciplinary approaches, benefiting policymaking.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".