O najdbi primerka Trubarjevega Davidovega psaltra (1566) v knjižnici Univerze v Tartuju
Bibliographic record
Abstract
Poleti 1990 se je v knjižnici Univerze v Tartuju, v zbirki Bibliotheca Bergmannae No 255, našel izvod Trubarjevega Davidovega psaltra. Knjiga je prišla v Tartu leta 1796 iz knjižnice Johannesa Breitkopfa iz Leipziga. To je dvanajsti znani ohranjeni izvod te Trubarjeve knjige. Članek prinaša podroben prikaz tartujskega izvoda in tako omogoča primerjavo z drugimi. Kot poroča B. Berčič (1968), je bilo doslej znanih 11 ohranjenih izvodov te knjige: štirje v Sloveniji, trije v Nemčiji, dva v Švici,eden na Češkem in eden na Slovaškem. Poleti 1990 smo v znanstveni knjižnici Univerze v Tartuju odkrili dvanajstega. Knjiga je dobro ohranjena. Pogled v knjižnični arhiv nam pove, da je ni nihče uporabljal. Knjiga nosi signaturo Bibliotheca Bergmannae No. 255 in se nahaja v rokopisnem oddelku. Iz zaznamka na naslovnici je razvidno, da je prispela v Tartu leta 1796 iz knjižnice Johannesa Breitkopfa iz Leipziga. Članek podaja podroben opis tartujskega izvoda: poleg polnega naslova so opisani tudi drugi njegovi deli -- njihovi začetki in konci -- , tako da omogoča primerjavo s preostalimi enajstimi ohranjenimi izvodi. Poleg omenjenega Davidovega psaltra smo v knjižnici Tartujske univerze odkrili še izvod v cirilici natisnjene knjige Artikuli (1562), ki sta jo prevedla hrvaška protestanta Stipan Konzul in Anton Dalmatin.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".