"Gott Wolle Geben Gesundheit in Leben, Brot, Geldt, Frieden und Ruh. Endlich dem Himml derzur." Demographic, economic, social and family aspects of the life of the rural subjects in the 18th century
Bibliographic record
Abstract
The work is dealing with seďs' economic, demographic and social conditions on the North Bohemian estate ofHorní Police in the 18th century. It seeks to examine to what extent factors independent of will of man took share in career of individuals and to what degree the scope for free serf decision-making was available in the early modem society. The work is based on the fact that it is possible to trace back the so called life cycles of particular social strata conditioned by gender in spite of a broad range of ordinary people' s individual fates. The work keeps to seďs' lists ofHorní Police which have been handed down in a coherent number since 1709. This source of key importance for the study both of life cycles and of a number of demographic indicators has been complemented by the analysis of further materials which arose from activities of the manorial court, from land and particularly church registers. A great attention has been paid to the research of circumstances which considerably influenced career of the individuals: of the economic situation in the region strongly depended on natural and climatic conditions, of demographic indicators closely connected with economic conditions, particularly in the question of marriage availability, of the structure of the population and ofland availability. The...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".