Bibliographic record
Abstract
The COVID 19 pandemic followed by the invasion of Ukraine is a two-punch economic strike never seen in recent history. The pandemic not only disrupted many aspects of a tightly knit integrated world but also exposed its fragility. The devastation of Ukraine and the vast program of sanctions quickly imposed by most major developed countries have accelerated the retreat of globalization. For many decades, Central Bankers and economists considered stable prices as an almost permanent feature. Today, the consumer price index in the US hit a 40-year high at more than 8 per cent and experts were unable to predict such course of inflation. In this paper, we offer a unique perspective on these events. First, we identify a few major influential factors that have altered significantly and reliably inflation since World War II. We then turn to looking at recent events in the light of these factors to try and extrapolate a likely trend for inflation in the coming years. Despite the dire economic challenges of World War II, the economy recovered quickly, the financial imbalances rectified in only a few years and inflation was tamed. Can the same thing be achieved after the pandemic? Our analysis suggests that this is highly improbable. Deep-rooted inflationary forces are at work because of the distortions that the economic order of the last 40 years has created. These distortions, exacerbated by the dual crisis, will take long to repair. We are then looking at an unsettled economic and inflationary future. The wise course of action to avoid a chaotic future requires that the US authorities withdraw from hands-on policies and instead, pave the way for the agile private sector to take the lead and adapt the economy to the changing conditions.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".