Bibliographic record
Abstract
After the global financial crisis, the Bank for International Settlements emerged as an influential voice in policy debates. Under the rubric of preventing ‘financial imbalances’, and concerned with the ‘illusory’ nature of demand management, the Bank has proposed a macro policy framework based on ‘finance-neutral’ output gaps. This paper critiques the analysis of the New Austrian School, that is, the Bank for International Settlements. The Bank is seeking an operational anchor for a Hayekian version of the Wicksellian ‘natural rate of interest’ that would obtain a ‘sustainable’ output level consistent with a long-run ‘financial equilibrium’ for the private non-financial sector. The fuzzy concept of ‘financial imbalances’ plays a similar role to that of ‘forced saving’ in the Old Austrian School framework. Incredibly, the institutional flaws in the eurozone that made sovereigns vulnerable to debt crises, large current-account surpluses, high rates of unemployment and rising inequality are not deemed as ‘imbalances’ worthy of a public policy response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".