25 éve a Szabadság utcában : A Janus Pannonius Múzeum Természettudományi Osztályának története, tevékenysége az elmúlt 25 évben = On the Szabadság Street for 25 Years. The history andactivities of the Natural History Department of the JanusPannonius Museum in the past 25 Years
Bibliographic record
Abstract
1999-ben egy üzletház építése miatt költöztették másik épületbe a JPM Természettudományi Osztályát. A Rákóczi útról költözött el a gyűjtemény és a munkatársak, ezért le kellett bontani a régi kiállítást is. Ekkor kapta meg az Osztály a Zsolnay-szobornál, a Szabadság utca sarkán álló épületet. Ebben a cikkben az azóta eltelt 25 év történéseit, az Osztály elmúlt negyed évszázadának munkáját foglaljuk össze, melyben közel 100 időszakos kiállításról, 250 publikációról, sikeres családi- és gyermekprogramokról, fesztiválokról, múzeumpedagógia nívódíjról is beszámolunk. | In 1999, due to the construction of a shopping center, the Natural History Department of the Janus Pannonius Museum was relocated to another building. The collection and staff moved from Rákóczi Street, and the old exhibition had to be dismantled. It was at this time that the Department received the building located at the corner of Szabadság Street near the Zsolnay statue. This article summarizes the events of the past 25 years and the work of the Department over the last quarter century, including nearly 100 temporary exhibitions, 250 publications, successful family and children's programs, festivals, and a prestigious museum education award.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".