From Excellence to Utilitarianism: Technical Culture and Professional Education in Swiss Clock-Making Schools, 1850–1920
Bibliographic record
Abstract
In the last quarter of the 19th century, Swiss clock-making schools were reorganized in order to make the teaching they provided compatible with the new needs of the industry, which was undergoing a profound mutation due to the introduction of mechanized production methods. However, the modernization of the clock-making schools was not without a certain number of problems. Several schools that had been founded in the middle of the 19th century were attached to their original mission – the restoration of prestige to the traditional craftsmen’s know-how and the promotion of the technical excellence of an elite corps of clock-makers. These schools accepted the utilitarian model with difficulty. Through the presentation of the evolution of several Swiss clock-making schools, this article demonstrates the various forms of the mutation of the technical culture taught in these schools during the 1850-1920 period.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".