Social Characteristics of Police Constables in the Last Quarter of 19th Century (Based on Materials from the Perm Province of 1889)
Bibliographic record
Abstract
Introduction. The subject of this study is the social characteristics of the police constables of the Perm province in 1889. The purpose of the article is to trace the evolution of the personnel of the police constables in 1878–1889. Methods and materials. To achieve this goal, the method of prosopographic research was used (drawing up a collective portrait of a Perm police constable in 1889 based on a computer database). Analysis. During the study, it was found that representatives of tax-paying estates predominated among the police constables, the proportion of officials gradually decreased. Most future policemen graduated from military service as non-commissioned officers. 15% of them served as clerks in the army. The number of police constables who had only home education has significantly decreased. According to the data of the Shadrinsk district, the average age of the police constable was 33, much younger than in 1878. According to this list, the social composition of the police was quite variegated, with the dominance of representatives of the peasant class. For 10 years, the personnel of police constables had been almost completely renewed. The average length of service of the police constables was 3.6 years. Results. It was concluded that from 1878 to 1889 the education of the non-commissioned officers improved, and the retired and indefinite leave recruits were replaced by non-commissioned officers who had served on the draft. Thus, from 1878 to 1889, the motivation for service, the professionalism and stability of the cadre of police constables improved significantly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.005 | 0.001 |
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".