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Record W3086632433 · doi:10.1080/01439685.2020.1815350

The Illustrated Cameraman: Labor, Industry, and Technological Change in the Cartoons of Glenn Kershner, A.S.C

2020· article· en· W3086632433 on OpenAlexaboutno aff
Luci Marzola

Bibliographic record

VenueHistorical Journal Of Film Radio and Television · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodCraftFilm industryVisual artsMotion picturePhotographyQuarter (Canadian coin)Media studiesSociologyMovie theaterArtArt historyHistoryComputer science

Abstract

fetched live from OpenAlex

Cameraman Glenn R. Kershner worked in Hollywood from the 1920s through the 1950s, mastering everything from aerial photography to process work. Though his work in motion pictures is little known today, he created vivid images of his profession through dozens of cartoons printed in the motion picture technicians’ publications, American Cinematographer and International Photographer. In his illustrations, Kershner emphasized the heroism, professionalism, and technical expertise of the workers of Hollywood while also revealing their anxieties about technological and industrial change. In this essay, these cartoons are used to understand how Hollywood technical workers understood their professions and their industry. Kershner’s cartoons offer a craft worker’s perspective on key industrial upheavals, from the introduction of sound to the growth of labor unions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.256
Teacher spread0.190 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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