Bibliographic record
Abstract
Karel Ančerl 1968-1973. A documentary monograph OBJECTIVES: The main objective of this thesis is to capture and describe the last five years (1968-1973) of life and artistic achievements of the conductor Karel Ančerl. This is a topic which has not been elaborated on an academic level yet. On the beginning of the captured period we find Ančerl to be a prominent member of the Czechoslovak music environment working as the chief conductor of the Czech Philharmonic. At the end of this period, Ančerl permanently lived and worked in Canada as the chief conductor of the Toronto Symphony. This fact is reflected in the two main topics of this thesis. First, there is the theme of process of following a qualitative change which the Toronto Symphony undertook during Karel Ančerl's leadership. Second, there is the relationship of the conductor to the Czechoslovak environment and its musical tradition. Main axis of the thesis is defined by a chronological following of the affairs of Karel Ančerl's life story in the given period. METHODOLOGY: Since the estate of Karel Ančerl has been missing, some of the important - maybe even the most important - documents still remain unknown. The story is being told with the help of supporting sources, just like is the correspondence between Ančerl and Ivan Medek, which covers...
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.229 | 0.112 |
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".