An Aesthetic Analysis of the Artistic Conception in Zhang Yiqing’s Documentary
Bibliographic record
Abstract
Since televised documentaries began to popularize in China in 1990s, their artistic value has gradually exposed to people’s attention. This paper studies the artistic conception of documentaries by analyzing the representative works of Zhang Yiqing. It mainly discusses the key points about artistic conception in Chinese traditional aesthetic and philosophy；the narrative style of Zhang Yiqing’s documentaries(the theme, structure, and details) and the philosophical argument content；the television language(the commentary, off-screen voice, music, and stunts) using in his documentaries, and also its reference significance to traditional documentaries. Key words: artistic conception, Zhang Yiqing, documentary Resume: Le documentaire televisuel prend l’essor depuis les annees 1990. Des lors, le documentaire dont la valeur esthetique se revele de jour en jour tire l’attention du grand public. J’ai choisi l’oeuvre de Zhang Yiqing comme exemple pour etudier l’esthetique de l’inspiration du documentaire. Cet essai traite principalement : des opinions essentielles issues de la recherche esthetique et philosophique sur l’inspiration ; les moyens de narration du documentaire de Zhang tels que le theme, la structure, les details et la philosophie ; l’utilisation du langage televisuel du documentaire de Zhang comme le commentaire, la voix off, la lumiere et le truquage ; l’influence sur le document traditionnel. Mots-Cles: inspiration, Zhang Yiqing, documentaire
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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 | 0.002 | 0.002 |
| 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 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".