Kratkometražni animirani film "Čovjek koji je uništio Zemlju"
Bibliographic record
Abstract
Diplomski rad bazira se na izradi kratkometražnog filma u tehnici stop animacije. Stop\n animacija jedna je od najstarijih tehnika i mnogi su je umjetnici nastojali usavršiti, a svoje\n korjene vuče još od davnih vremena.\n Umjetnici, poput J. Stuarta Blacktona, Alberta E. Smitha i Helene Smith Dayton, svojim su\n djelovanjem razvili mnoge stilove. Od lutaka i plastelina do sjena i igračaka, pa čak i glumaca;\n svjet stop animacije nema granica. No većinu njih možemo svrstati u jednu od podvrsta poput\n lutkarske animacije, animacije gline ili piksilacije.\n Sinopsis je sastavi dio procesa izrade, kako i ostalih vrsta filma, tako i stop animacije. On\n nam opisuje radnju filma bez previše detalja kako bi lakše razradili temu. Nakon njega dolazi\n izrada scenarija. U scenariju razrađujemo detalje podjeljene po scenama i kadrovima.\n Standardno pisan fontom "Courier New" radi lakšeg čitanja služimo se njime za izradu knjige\n snimanja. U knjizi snimanja po kadrovima izrađujemo skice i definiramo završe detalje.\n Nakon što smo odredili sve detalje kreće izrada lutaka, scena te snimanje i montaža. Lutke su\n izrađene na armaturi od namotane žice, punjene spužvom i presvučene tkaninom, krznom ili\n poliesterskom vatom. Scene se sastoje od raznih materijala poput piljevine, granja, umjetnog\n cvijeća i plastičnih slamki. Kada su svi rekviziti spremni sljedi snimanje svakog detalja pokreta\n gdje nam je potrebno dvadeset i pet slika kako bi proizveli jednu sekundu snimke, nakon čega\n dolazi montaža slika u film i dodavanje zvuka.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.084 | 0.012 |
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".