Features of labor relations in the industrial sphere in Russia in the 19th century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article shows that the development of industrial sectors and peasant crafts in the first quarter of the 19th century. it contributed to the spread of freelance labor, the share of which by the beginning of the 1861 reform was 87% of the total number of workers employed in industry. The reasons determining the long-term preservation of the feudal-serf system in the management of factories and plants of the studied period after the abolition of serfdom are indicated. It was revealed that in order to reduce labor costs, as well as in conditions of shortage of premises and equipment, manufacturers used handicraft industry. It is shown that the end of the 19th century was a turning point in the labor relations of manufacturers and workers, the requirements for which were now fixed in multiple legislative acts adopted during this period.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it