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 basic question considered in the publication the difference of influences of the tutors and the governesses representing the different countries in Russia, and also the gender aspects of noble children education. Right up till the XXth century the education as a whole and the women education exerted influence upon politics. When in the XVIIIth century the requirements and the attitude to women had changed, the new models of education which always in Russia was gender focused appeared, that helped to structure the appropriate gender identity. The presence of the tutor or governesses provided teaching the good manners, mastering in perfection with a foreign language and education as a whole. France for Russia of the XlXth century was considered as the role model, the presence of the French governess was an attribute of a good form though the French were considered as thoughtless. English tutors differed from others by their good manners, severity and moreover they taught not obligatory and not fashionable at that time English language that testified to a high level of family's ambitions. German tutors were appreciated in merchant and military families due to their accuracy, pedantry and high organization. The governesses not only formed the children's outlook, but also were capable to change all Russian traditional family way, that subsequently has affected on forming of a new women generation which had been educated in norms of practicalness. In the 50-70 of the XIXth century this generation received the european education, that in the last quarter of the XlXth had an effect on development of Russian emancipation processes.
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.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.022 |
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