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Record W4399916577 · doi:10.1080/17508061.2024.2364580

Beyond the lens: More-than-human encounters in Yin Hong’s Himalayan science education filmmaking

2023· article· en· W4399916577 on OpenAlexaff
Chu Wang

Bibliographic record

VenueJournal of Chinese Cinemas · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFilmmakingLens (geology)OptometryMedia studiesSociologyVisual artsHistoryArtOpticsMedicinePhysics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.376
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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