Aggregate Demand and Employment: International Perspectives
Bibliographic record
Abstract
Contents: Preface xiv Introduction: the importance of aggregate demand for full employment and rising living standards 1 Brian K. MacLean, Hassan Bougrine and Louis-Philippe Rochon PART I THEORETICAL CONSIDERATIONS 1 Macroeconomic lessons from the past decade 11 J.W. Mason 2 Dualism and economic stagnation: can a policy of guaranteed basic income return mature market economies to les Trente glorieuses ? 34 Mario Seccareccia 3 Kaleckian reflections on the wage share in recent Post-Keynesian controversies 52 Jan Toporowski PART II MULTI-COUNTRY PERSPECTIVES 4 The fiscal constraints of the Economic and Monetary Union 62 Malcolm Sawyer 5 The failure of development in Latin America 75 Mat.as Vernengo 6 Austerity, unemployment and poverty in developing countries 97 Hassan Bougrine and Louis-Philippe Rochon PART III COUNTRY STUDIES 7 Full employment in Canada in the early 21st century 116 Lars Osberg 8 Employment in India: aggregate demand and structural transformations 142 Sunanda Sen 9 Abenomics and the Japanese labour market 156 Brian K. MacLean Index 179
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".