Respice finem! Eshatološka motivika v umetnosti potridentinskih bratovščin na Slovenskem
Bibliographic record
Abstract
Prispevek se osredotoča na motiva umiranja in vic v umetnosti baročnih bratovščin na Slovenskem. Predstavlja pri- mere, značilne za bratovščine različnih titularjev, predvsem tiste, ki so se še posebej posvečale umirajočim in vernim dušam. Ob standardnih upodobitvah opozarja na ikonografsko zanimivejše (Tomišelj, Ljubljana Sv. Peter, Lemberg, Kranj, Ponikva itd.) in take, ki so jih napravili vidnejši umetniki (Andrej Trost, Giulio Quaglio, Francesco Robba, Jožef Holzinger idr.). Iz gradiva je razvidno, da dobi v prizorih srečne smrti sčasoma vidno vlogo personificirana Smrt (okostnjak), skušnjave (demoni) pa se reducirajo. Vice, ki variirajo po emocijah in številu očiščujočih se duš, se prilagajajo krajevni umestitvi; tu in tam so postavljene v konkretno pokrajino, večkrat neposredno pod križ na Kalvariji. Včasih so zaprte z rešetkami in asociirajo na ječo, v verige vklenjene duše pa so redke. Kompleksnejše upodobitve vic so dopolnjene z motivom priprošnje.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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".