“Whatever it takes”: first budgetary responses to the COVID-19 pandemic in France
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This paper highlights the emergency budgetary measures taken by the French government in response to the COVID-19 pandemic health crisis and identifies some of the key political, economic, social and environmental factors and consequences associated with those measures. Design/methodology/approach The authors conduct a thorough analysis of official reports, bills and academic and news articles related to the pandemic management in France. The authors’ analysis covers the period from January 24 to July 31, 2020. Findings Despite previous austerity policies, France faced the health crisis with a very high level of debt, which has complicated the management of the COVID-19 crisis. Although significant, the response brought by the French government seems in the end to be rather choppy. Originality/value This paper highlights three elements of analysis that allow a better understanding of the budgetary management process in France. The authors first discuss the notion of budgetary flexibility. Then, they show that the growth of participatory budgets in local communities gives hope for a possible and much needed decentralization process implying a stronger commitment of citizens. Finally, they highlight a budgetary paradox; that is, massive funding of polluting industries versus ecological issues. These three elements of analysis all advocate the need for a deeper engagement among different levels of government and actors.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it