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Record W4389155285 · doi:10.1017/9781108560740.016

Wires

2023· book-chapter· en· W4389155285 on OpenAlexaff
Aaron Worth

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpireTelegraphyUncannyDominionInterconnectionTelecommunicationsGlobeSociologyEngineeringArtHistoryAncient historyAestheticsTelephonyPsychologyArchaeology

Abstract

fetched live from OpenAlex

This chapter investigates the ways in which writers used the rapidly expanding wired networks of electrical communications technologies such as the telegraph and the telephone to reimagine notions of community, nation, and empire in the nineteenth and early twentieth centuries. The development of electrical communication networks was motivated by, and in turn enabled, the spread of empire in the nineteenth and twentieth centuries, establishing models of center and periphery in stark contrast with utopian predictions of global interconnection. Worth shows how telegraph and telephone wires were conceived not only as nerves connecting the globe, but also, acting as the circulatory system of Empire, as veins or arteries – “metaphorical carrier[s] not only of information but of blood.” In addition to establishing wired networks of earthly dominion, the telephone and telegraph opened imaginary connections into the uncanny and the otherworldly, seeming to transgress the boundary between life and death.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.420
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4200.291

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 head0.032
GPT teacher head0.192
Teacher spread0.160 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicHistory of Computing TechnologiesFrench-language works237,207