Bibliographic record
Abstract
Crna smrt koja je 1347. godine prohujala Europom i za sobom ostavila mnoge žrtve, nepovratno je utjecala na sve aspekte srednjovjekovnog društva, od političkih, demografskih i religijskih do pojedinačnog stava svake osobe o bolesti, smrti i zagrobnom životu. S istim problemom se susrela i splitska komuna koja se već početkom 1348. godine morala suočavati s posljedicama kuge. Od tada će se epidemije kuge u Splitu pojavljivati svako stoljeće, oscilirajući između više i manje pogubnih, od kojih će po broju smrtnosti najzapamćenija biti kuga 1526./1527. godine koja je po procjenama usmrtila oko 60% stanovništva. Kao posljedica kužnih epidemija, splitska komuna će se više puta morati suočiti priljevom došljaka iz zaleđa, prenapučenosti grada i s gladi koja će uslijediti nakon svake epidemije. Prodorom Osmanlija u Europu i padom Bosanskog kraljevstva 1463. godine, Split postaje pogranično područje koje će početkom 16. stoljeća razdirati kuga, glad i Osmanlije.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".