Bibliographic record
Abstract
Important problem of modernization and reforming of economy and social structure of the Russian society is the question of transformations of the Russian working class. For quarter of the century it is public group significantly I changed. In industrial groups which on the structure are closer to traditional West European handicraftsmen were allocated. The Russian working class shares on two large social groups now: workers and new workers. The following professions belong to the last group: cooks, confectioners, gardeners, builders, finishers of rooms, drivers, etc. New workers are connected with service of interests of the Russian elite while old traditional are occupied at the large industrial enterprises. With them pass serious negative social transformations while new workers I show social and psychological characteristics, other than group of , as: social mobility, activity, high emotional intelligence and some other. The work purpose – to describe the main social specifics of group of new workers. During research methods were used: expert (n=25) poll, deep interviews (n=25), mass poll (n=725), supervision, analysis of statistical information, content analysis of the press of the Penza region. During research specifics of formation, development of this group, its main social and psychological characteristics were revealed and described.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".