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Record W4389893361 · doi:10.1080/03087298.2023.2288417

From the <i>Gestell</i> to the <i>Reprogestell:</i> Notes on the Technological Continuum

2023· article· en· W4389893361 on OpenAlexfundno aff
Eduardo Ralickas

Bibliographic record

VenueHistory of Photography · 2023
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsArtVisual artsAestheticsArt history

Abstract

fetched live from OpenAlex

This article casts a retrospective glance at the technological continuum from which the art history slide lecture springs. The article focuses specifically on the copy apparatuses widely used to make transparencies for art-historical consumption, circa 1930 to the early 2000s. The ways in which these once prevalent technologies developed to frame and disseminate visual materials by means of light was instrumental in shaping the widespread illusion of epistemological transparency in the world’s art history classrooms. In reference to the work of Martin Heidegger (1889–1976) on technological determinism, the author provides a chronology of slide reproduction technologies in which artworks ultimately appear as self-luminous technological ‘images’, or simulated entities that speak as if beyond history.

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)0.002
metaresearch head score (Gemma)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.043
Scholarly communication0.0130.012
Open science0.0010.005
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0170.002

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 head0.033
GPT teacher head0.220
Teacher spread0.187 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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