MétaCan
Menu
Back to cohort
Record W4211069875 · doi:10.1017/cco9781139152242

The Cambridge Companion to the History of the Book

2014· book· en· W4211069875 on OpenAlexaff
Leslie Howsam, Karen Attar, Trish Loughran, Sydney Shep, Peter Stoicheff, Margaret J. M. Ezell, Adrian Johns, Cyndia Susan Clegg, James Raven, Alistair McCleery, Jon Bath, Michael F. Suarez, Katherine Bode, Mary Hammond

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsReading (process)NarrativePublishingGlobalizationField (mathematics)HistoryLiteratureHistory of the bookInstitutionVisual artsMedia studiesSociologyArtArt historySocial scienceLinguisticsPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

Throughout human history, the world's knowledge and fruits of the creative imagination have been produced, circulated and received through the medium of the material text. This Companion provides a wide-ranging account of the history of the book and its ways of thinking about works from ancient inscription to contemporary e-books, discussing thematic, chronological and methodological aspects of this interdisciplinary field. The first part considers book cultures from local, national and global perspectives. Part two, organized around the dynamic relationship between the material book and the mutable text, develops a loosely chronological narrative from early writing, through manuscript and early printing, to the institution of a mechanized book trade, and on to the globalization of publishing and the introduction of the electronic book. A third part takes a practical turn, discussing methods, sources and approaches: bibliographical, archival and reading experience methodologies, as well as pedagogical strategies.

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)0.004
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0030.003
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1750.055

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 head0.035
GPT teacher head0.174
Teacher spread0.140 · 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
GenreReview

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

Citations35
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicDigital Humanities and ScholarshipFrench-language works237,207