Beyond the lens: More-than-human encounters in Yin Hong’s Himalayan science education filmmaking
Bibliographic record
Abstract
The post-1949 production of China’s science education films has not received enough scholarly attention. This article treats Yin Hong’s Himalayan filmmaking as a prism through which we can rethink science education films’ propaganda missions, knowledge-making modalities, promotion of environmental awareness, and status in Chinese film and overall cultural history. Yin Hong’s film texts, produced under strict government censorship in Mao-era China, propagated the ideology of transforming and mastering nature for socialist development. Nevertheless, through investigating personal writings of Yin Hong and other scientists, the article illustrates that the filmmaker’s on-site filming practices embody an epistemic space where personal and embodied encounters with nature cannot be reduced to a “nature-conquering” mission. His filming journey demonstrates more-than-human encounters, where nonhuman nature is not just a subjectable and silent object but actively reshapes filming practices. Shifting analytic focus from representations to practices, the article advocates for a rediscovery of science education filmmaking in China.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".