PIIGS “R” US? The Coming U.S. Debt Crisis and What Can Be Done About It
Bibliographic record
Abstract
The U.S. is beset by weak economic growth, ballooning debt and stubbornly high unemployment but the collapse of the housing bubble that spurred the 2008-2009 global financial crisis was more a consequence than a cause of what is wrong. The real culprit was and remains poor policymaking in the areas of taxation, finance and economics, which helped bring on the crisis by encouraging Americans to engage in counterproductive behaviour. This paper warns that without meaningful fiscal reform, the U.S. risks joining the PIIGS — Portugal, Ireland, Italy, Greece and Spain — on the road to ruin through unsustainable debt, high spending and chronically low growth. The author acknowledges the heated partisan debate over whether the answer is higher taxes or lower spending and explains that neither course alone offers a practical way out. A balanced approach incorporating aspects of both, combined with detailed policy reform as set forth in this paper, is the best solution. U.S. politicians must put aside their differences and replace bad policies with sound ones or the American economy will face disaster.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".