Bibliographic record
Abstract
Keynes' General Theory of Employment, Interest and Money and Sraffa's Production of Commodities by Means of Commodities were concerned with different problems, and this is reflected in the structure of the models they used. Keynes was concerned with the factors determining the level of employment in a particular period of time — a short period — and the ways in which that level of employment could be thanged over a sequence of these short periods. There is great scope for disappointment of expectations and uncertainty in his analysis — it is not tied in any way to long-period equilibrium. Sraffa's analysis was concerned with highly abstract theoretical questions — the value nature of capital and the lack of logical foundations for any marginal productivity theory of distribution that treats aggregate capital as an input. For this purpose, an analysis solely concerned with long-period equilibrium situations is not inappropriate. In these works there is no meeting ground between Sraffa and Keynes. The joining of the two analyses — except as a very special case in which entrepreneurial investment-expectations turned out to be validated by events — would distort seriously the nature of Keynes' analysis.
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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 | 0.005 |
| 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 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".