Studies in Austrian Macroeconomics
Bibliographic record
Abstract
Introduction: money, cycles, and crises in the US and Canada / Steven Horwitz -- Financial foundations of Austrian business cycle theory / Nicolás Cachanosky,Peter Lewin -- The optimal Austrian business cycle theory / Alexander Salter, William Luther -- Hayek on the neutrality of money / Steven Horwitz -- On the empirical relevance of the Mises-Hayek theory of the trade cycle / William Luther, Mark Cohen -- Expansionary monetary policy at the federal reserve in the 1920s / Patrick Newman -- The political regime factor in Austrian business cycle theory: historically accounting for the US and Canadian experiences of the 2007-2009 financial crisis / George Bragues -- An empirical comparison of Canadian-American business cycle fluctuations with special reference to the Phillips curve / Robert Mulligan -- Canadian versus US mortgage markets: a comparative study from an Austrian perspective / Andrew Young -- Banking regulation and knowledge problems / Thomas Hogan, G. Manish -- The comparative political economy of a crisis / Peter Boettke, Liya Palagashvili -- Policy design and execution in a complex world: can we learn from the financial crisis? / Peter Lewin
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".