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Record W2152689302 · doi:10.1017/s0269889704000250

László Moholy-Nagy's New Vision and the Aestheticization of Scientific Photography in Weimar Germany

2004· article· en· W2152689302 on OpenAlexafffund
Oliver A. I. Botar

Bibliographic record

VenueScience in Context · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Developments and Conflicts
Canadian institutionsUniversity of Manitoba
FundersUniversity of TorontoUniversity of Manitoba
KeywordsPhotographyExhibitionArt historyArgument (complex analysis)ArtVisual artsPositivismSimple (philosophy)PhilosophyEpistemology

Abstract

fetched live from OpenAlex

Argument I propose that both Moholy-Nagy's suggestions that products of applied, particularly scientific, photography be employed as exemplars for art photography, and his practice of integrating such applied photographs with art photographs in his publications and exhibitions, laid the groundwork for an aestheticization of scientific photography within the twentieth-century artistic avant-garde. This photographic “New Vision,” formulated in the 1920s, also effected a kind of “scientization” of art photography. Rather than Positivist mechanism, however, I argue that the science at play was “biocentrism,” the early twentieth-century worldview that can be described as Naturromantik updated by biologism. His key inspiration in this regard was one of the most important figures of biocentrism, the biologist and popular scientific writer Raoul Heinrich Francé, and his conception of Biotechnik [bionics], in which he proposed that all human technologies are based in natural technologies. The biological, pure and simple, taken as the guide. – Moholy-Nagy (1938, 198)

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.013
Scholarly communication0.0040.004
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.310
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
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

Citations9
Published2004
Admission routes2
Has abstractyes

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