Служба по выборам: портрет уездной элиты российского дворянства последней четверти XVIII в.
Bibliographic record
Abstract
In the article is investigating the problem of ineffective work of the nobility organs of self-government in Russian empire. On the base of literary and historical sources the author reconstructed «service portraits» of uyezd nobility of the last quarter of XVIII century, which were electing for various posts. In the article also is determined professional incompetent of the offi cials as a factor, which didn’t allow to the nobility organs of self-government to be an effective part of the whole structure of imperious institutions in Russian empire. = Исследуется проблема причин неэффективной деятельности дворянских органов самоуправления в Российской империи. При использовании исторических и литературных источников автором как бы воссозданы «служебные \nпортреты» уездного дворянства последней четверти XVIII в., избиравшегося на различные должности. Профессиональная некомпетентность должностных лиц, отсутствие у большинства из них желания заниматься «черновой» \nуправленческой деятельностью были определены автором как факторы, не позволившие дворянским корпоративным органам стать эффективно действующей частью всей структуры властных институтов Российской империи.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".