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Record W1967454847 · doi:10.1525/hsns.2008.38.3.405

Icons and Electronics

2008· article· en· W1967454847 on OpenAlexaff
Edward Jones‐Imhotep

Bibliographic record

VenueHistorical Studies in the Natural Sciences · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsYork University
Fundersnot available
KeywordsElectronicsFunction (biology)Symbol (formal)Forcing (mathematics)OntologyTransistorComputer scienceEpistemologySociologyElectrical engineeringPhysicsPhilosophyEngineering

Abstract

fetched live from OpenAlex

In the late 1950s, a wide-ranging debate erupted over the seemingly innocuous question of how transistors—the revolutionary new electronic devices—should be drawn. By forcing a break in the long-standing traditions of electronic drawing, transistors generated a crisis in the ontology of circuit diagrams, forcing a choice between representations that emphasized form and those that stressed function. This paper explores what was at stake in that mid-century debate over visual culture. It tracks one function-based symbol through concerns about auto-comprehension, visual communication, and electronic reliability to see how transistor symbols formed crucial sites for articulating the meanings of material devices and their relationship to the wider populations of electronic entities, especially vacuum tubes. In doing so, the article shifts the emphasis in the history of electronics from material to visual culture, recasting our understanding of postwar electronics as a history of drawings as well as devices.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.016
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.002

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 head0.120
GPT teacher head0.317
Teacher spread0.197 · 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.

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

Citations6
Published2008
Admission routes1
Has abstractyes

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