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Record W2309948091 · doi:10.1017/cco9781139152242.011

The industrial revolution of the book

2014· book-chapter· en· W2309948091 on OpenAlexaff
James Raven

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook-chapter
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsContent (measure theory)Industrial RevolutionComputer scienceWorld Wide WebPolitical scienceLawMathematics

Abstract

fetched live from OpenAlex

Until the early nineteenth century, all book and print production processes in all parts of the world succeeded or failed as a result of manual labour. Hands, not powered machines, engraved wood blocks and plates, cut punches and cast, composed and inked type. Hands worked paper mills and different kinds of xylography and letter-press, using many different sorts of material. Hands hung drying paper and silk, and bound the products. Across Europe, men and women lived and often suffered from the making of lead-based type and rag-based paper and from the exertions of pulling the letter- and rolling presses. Many operatives worked in small, hot and unpleasant printing rooms. In all parts of the world, eyes as well as hands suffered from the demands of microscopic cutting and refining of wood blocks and copper and other metal plates. Unlike the coming of print (wood blocks in second-century East Asia and thirteenth-century Europe; moveable type in eleventh-century China and fifteenth-century Europe), the second mechanized, industrial revolution in book production was experienced worldwide in one century. It was, nonetheless, hugely variable in its regional adoption and impact. This nineteenth-century transformation has been identified with publishing capitalism, and yet its history is many-faceted, with complicated antecedents. Technological bravura led the revolution, its products sometimes dismissed as industrial literature. Thomas Carlyle (and cultural pessimists around the globe) denounced the new machinery as mechanizing minds, devaluing literature and learning, and replacing craftsmanship (in writing as well as in publishing) by the robotic and the mass-produced. The unprecedented cheapness of industrially printed materials encouraged more people to read but also developed a greater sense of the indeterminacy and anonymity of the reading public.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.991
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0230.006

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 head0.055
GPT teacher head0.177
Teacher spread0.122 · 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 designNot applicable
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

Citations8
Published2014
Admission routes1
Has abstractyes

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