Employment, Technology and Institutions in the Process of Structural Change. A History of Economic Thought Perspective
Bibliographic record
Abstract
The present issue of the Working Papers series of the Dipartimento di Economia Politica at Milano- Bicocca reproduces the contributions presented at the mid-year ESHET Conference which took place at the Universities of Pavia and Milano-Bicocca on 16 and 17 November 2001. The program was arranged jointly by Gianni Vaggi and Pier Luigi Porta and the Conference was jointly organised by ESHET with the Department of Political Economy and Quantitative Methods of the University of Pavia and the Department of Political Economy of the University of Milano-Bicocca. The idea around which the Conference was built referred basically to Luigi Pasinetti’s conception of structural change and structural dynamics in a history-of-thought perspective. Luigi Pasinetti, Eshet’s first President, opened the Conference at the University of Pavia. The program included two sessions taking half a day each: the opening session was in Pavia on 16 November 2001 and the final session in Milan the 17 November. Luigi Pasinetti chaired the session held at the University of Pavia and Andrew Skinner was the chairman in Milan.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.040 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".