Transformations of teaching of history at grammar schools in Klatovy region between 1971-1995
Bibliographic record
Abstract
The last quarter of 20th century was a very dynamic period full of changes, not only in society but also in teaching. History has undergone the same turbulent development, not only as a school subject. The aim of this work is to describe the development of teaching at this type of secondary schools in Czechoslovakia on the example of two grammar schools in the Klatovy district (Sušice and Klatovy) with an emphasis on teaching history between the years 1971 and 1995. On the basis of archival materials, recollections of witnesses and contemporary professional journal discussions; theoretical concepts and the degree of their fulfillment in everyday practice will be compared. Therefore, the research will also include an analysis of school-leaving examinations in history with an emphasis on their content change in this period. In addition to archival material, the method of oral history will be used, which will bring a comparison of theory with practice in teaching at the time, with narrators becoming not only students but also teachers. The text will also include a didactic part, in which I will focus on the analysis of teaching methods and teaching aids (especially textbooks).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".