Bibliographic record
Abstract
We are currently experiencing an outpouring of concern both popular and professional regarding technological unemployment. I shall be discussing an apparent about-turn on the subject by David Ricardo (1772–1823), who at different times, even in different chapters of the same book, and, indeed, even at different places in the same chapter, seemed to be on both sides of the argument as to whether technological unemployment should be a matter for concern. In a chapter entitled “On Machinery,” added to the third edition of his Principles of Political Economy (1821), which comprises volume 1 of his Collected Works (1951–73), Ricardo announced that he had become concerned about the possibility, even likelihood, of technical change detrimental to labour’s interests. However, in the very same “On Machinery” chapter, Ricardo also outlined qualifications to show that there was little need for concern. Ricardo’s opposing messages are reflected in contrasting reactions to the chapter “On Machinery.” Some readers—including Thomas Robert Malthus and J. R. McCulloch—understood it as supporting working-class opposition to machinery. Others—including John Stuart Mill and Sir John Hicks—find therein the answer to such opposition
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".