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Record W2563858089

Marconi: The Man Who Networked the World

2016· article· en· W2563858089 on OpenAlexaboutno aff
Noah Arceneaux

Bibliographic record

VenueJournalism & Mass Communication Quarterly · 2016
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperBiographySociologyTelecommunicationsReputationPromotion (chess)Media studiesLawComputer sciencePolitical sciencePoliticsSocial science
DOInot available

Abstract

fetched live from OpenAlex

Raboy, Marc. Marconi: The Man Who Networked the World. New York: Oxford University Press, 2016. 863 pp. $39.95.Guglielmo Marconi, the man most widely recognized as the inventor of radio, was an international celebrity in the early twentieth century. Countless newspaper and magazine articles profiled and championed him, and the persistent press coverage helped affirm his claim to be the technology's principle inventor. Others had transmitted signals without wires before Marconi, and he was not the most expert scientist working in the emerging field of wireless telegraphy. He had an undeniable entrepreneurial flair, though, and was the first to put forth an entire system for communication and establish a successful company to exploit the technology.As part of his campaign of self-promotion, Marconi often co-opted work done by employees of his company. The scientist James Ambrose Fleming, for example, played a central role in the transmission of trans-Atlantic wireless signals in 1901. 'This feat, more than any other, established Marconi's international reputation, though Fleming had agreed to a salary contract which specified that credit must be given to Marconi. Years later, Charles Franklin helped create a new method for communicating via shortwave radio. The technology was eventually adopted by Britain's imperial wireless chain, and known as the Marconi beam system.Despite the voluminous press coverage that Marconi was able to generate during the height of his fame, he has not been the subject of a solid biography until now. Previous works have all been limited in some way, with Marconi himself exerting editorial influence over the earliest biographies. More than simply filling a gap in scholarship, you could say this 863-page tome obliterates it. Marc Raboy, a professor in the department of art history and communication studies at McGill University, plumbed archives in multiple countries to produce this meticulously researched biography. The Bodleian Library in Oxford contains the Marconi Archives, which holds many of his personal papers and some records of the original Marconi Wireless Telegraph & Signal Company, though the author also tracked down relevant material in numerous other archives; in fact, the preface to the 140 pages of endnotes devotes more than two pages to simply listing the archives. Original research findings are mixed with summaries and critiques of previous studies, and Raboy is not shy about alerting readers to information that had not been discussed before. Ostensibly, the focus is on Marconi, the man, though in telling his story in such detail, Raboy also provides a rich chronology of how wireless communication was used, commercialized, and regulated during the first decades of the twentieth century. Many media historians will find this material of particular interest, along with descriptions of how various countries tried to establish dominance over this new form of commuof nication. Raboy has a particular interest in Marconi's personal life, and mines numerous letters, written to various women, more deeply than anyone before. Marconi's latein-life support for Mussolini, fascism, and anti-Semitism pose other major points of discussion, and are admittedly controversial topics that previous biographers tried to downplay. …

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0830.069

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 head0.245
Teacher spread0.229 · 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
Published2016
Admission routes1
Has abstractyes

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