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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 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; both teacher heads agree on what is shown here.
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".