Povijesne intervencije na slikarskoj baštini otoka Krka u vrijeme Austro-Ugarske monarhije
Bibliographic record
Abstract
Based on data from available literature, and information gathered during archival research and field work, this master's thesis provides a review of the historical restoration interventions and repairs on the easel heritage of the island of Krk during the Austro-Hungarian Monarchy, in the period from the last quarter of the XIX. century until the end of the First World War. The structure of the thesis is divided into three major units enriched by transcripts of relevant archive documents with accompanying catalog units. The first part introduces the historical continuity of the Diocese of Krk, with special emphasis on its territorial expansion during the Habsburg church reform in 1828 with changes in the structure of the diocesan archive. In the second part, the island of Krk is placed in the context of the time and space of the Monarchy, from the period of establishment and activity of the Imperial and Royal Central Commissions until 1918. The most comprehensive, third part of the research, with accompanying catalog units, describes the concrete artworks of the easel heritage of the island over which interventions have been carried out, providing information on the participants, as well as the methods and approaches of preservations. The archives of the Croatian Restoration Institute in Zagreb provide an overview of all subsequent conservation and restoration works on these artworks in order to complete thecourse and interpretation of historical interventions.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".