Chinese Scientific Educational Film Creation: The Return of the Film Nature
Bibliographic record
Abstract
Two major debates in the 20th century about what scientific educational films belong ended eventually without any conclusion. So far the debate on whether scientific educational films belong to or to films or to both and films still has not come to any conclusion, which seems to be an absurd war (in fact, science and can not be discussed on the same level). However, the problems reflected are worth our careful thought. This is exactly why Chinese scientific educational films are so withered (although there is some development in the new century, it is only just the beginning). Therefore, we start our discussion from what scientific educational films belong to, and then explore the creation of scientific educational films and put forward some thoughts on it. Key words: Scientific Educational Film Creation; What Scientific Educational Films Belong To; Story Feature Expression; Blockbuster Production Resume: Dans le 20eme siecle, les deux grands films debats sur la nature du film et educatif sont infructueuses. Jusqu'a maintenant, on n'a pas de conclusion finale sur le fait s'il faut classer le film et educatif dans la famille du film ou meme dans la famille de film. Ce debat semble etre un guerre absurde (film scientifique et ne sont en fait pas dans un meme niveau de discussion), mais le probleme qu'il reflete est digne d'un examen serieux. C'est exactement pourquoi le film et educatif chinois est en declin (bien qu'il a connu un developpement depuis le nouveau siecle, mais c'est seulement un commencement). Ainsi l'auteur traite d'abord du probleme de la nature du film et educatif, ensuite il explore la creation du film et educatif et propose quelques reflexions. Mots-cles: Creation Du Film Scientifique Et Educatif; Nature Du Film Scientifique Et Educatif; Historisation; Grand Film
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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; 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".