Bibliographic record
Abstract
accumulation accounts in growth cycle model 137, 138, 139 capital accumulation 3, 122, 143, 186-8 debt accumulation 140-46, 155-75 Acemoglu, D. 55, 56 aggregate demand, link with profits and cash flow 99-111 Aglietta, M. 79 algebraic relationships, used in debtdeflation model 150 American Economic Review, Minsky's doctoral dissertation in 78 Andronov, A.A. 35 'animal spirits' 71, 74, 102 anti-laissez-faire theorem 24 Asimakopulos, A. 94 asset-holders accounts of in growth cycle model 137-9 budget equations of in debt-deflation model 141-2 asset-price dynamics in debt-deflation model 133, 144, 145-6 asymmetric information, financial instability resulting from 27-8, 56, 185-6 asymmetric shocks 55-6, 58, 64 asymptotic stability 135, 162, 166-7, 174 Bak, P. 55 'balance sheet' approach of H.P. Minsky to financial system 1-28 banana parables, Keynes 79 banking system, nature of 1-28 see also central banks; commercial banks; fiscal and monetary authorities Beaudry, P. 59 Bernanke, B.S. 101 Beveridge curve, asymmetric patterns in 56 big government, role of in financial system 1-2, 12, 18-19, 21 see also budget deficit borrower's risk 79, 80-81, 100-102, 115, 117-18, 126 Brock, W. 65 budget deficit in debt-deflation model 148-9, 153 as floor to recession 126 impact on leverage ratios 26, 78 relationship to profitability 12, 92 role in stabilization of economy 18-19, 48-9 business cycle asymmetric patterns in 27-8, 56, 185-6 heterogeneity of firms, fluctuations associated with 185-98 institutional dynamics, prospecting in a Minskyan perspective 124-7 interpretation of Minsky's analysis 113-17, 129-32 investment theory, macroeconomics of 97-111 Keynes on 37-8 missing link in Minsky's analysis 76-93 overview of Minsky's analysis of 1-28, 40-46 real business cycle (RBC) theories 54, 55, 71 see also financial instability hypothesis, Minsky Can 'It' Happen Again?(H.P. Minsky) 2 Canada, cyclical behaviour of corporate indebtedness 86-93 capacity utilization of firms, in debtdeflation model 143
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.550 | 0.349 |
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".