The Path Not Taken: French Industrialization in the Age of Revolution, 1750–1830, Jeff Horn, Cambridge, MA.: MIT Press, 2006
Bibliographic record
Abstract
Abstract Eschewing a Marxist interpretation of the French Revolution, Jeff Horn’s work is nonetheless interesting in stressing the widespread prevalence of machine-breaking by workers in France as compared to England during industrialisation. Likewise notable is Horn’s argument that the resultant state-intervention forced France onto a path of industrialisation which differed from England’s and which has been underestimated. Breaking with the revisionist consensus, Horn further demonstrates that the effect of the Revolution was positive for French economic development. Refreshing in its stress on working-class militancy, Horn’s work nonetheless exaggerates the influence of machine-breaking on French economic change as compared to other forms of working-class struggle, the slow pace of primitive accumulation and the resistance to industrialisation by small-scale urban producers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".