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Record W2903355313 · doi:10.1093/library/19.4.520

<i>Material Texts in Early Modern England</i> . By <scp>Adam Smyth</scp> <i>Material Texts in Early Modern England</i> . By SmythAdam. Cambridge: Cambridge University Press. 2018. x + 211 pp. £75. <scp>isbn</scp> 978 1 108 42132 4.

2018· article· en· W2903355313 on OpenAlexaff
Germaine Warkentin

Bibliographic record

VenueThe Library · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Historical and Scientific Studies
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMetaphorSkepticismPoetryAllusionChapelLiteratureClassicsArt historyArtHistoryLawSociologyPhilosophyEpistemologyLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Is the book broken—as an artefact, as an economic entity, as a metaphor, as an experience of common life? That question has been asked in various forms for nearly five decades, prompted by the replacement of hot metal by phototypesetting, the absorption of historic publishing houses into large conglomerates, the extreme scepticism of much current critical practice, and the physical disappearance of deeply loved books into the digisphere. The task of asking and responding to the question falls to the bibliographer, or as he or she has latterly become known, the book historian, a term that at the moment seems to cover anyone who tries to put together a picture of what the book is and where it might be going. Traditional bibliography in the century and a half since Bradshaw has focused intensely but controversially on the book as a material object, but there is much evidence that as Adam Smyth contends, this leads to an unprofitable argument about ‘hard’ practice and its superior relation to ‘soft’ theory. His new book attempts to steer between the two, or rather to bring them into a fruitful relationship, removing the seeming binary opposition. Smyth has certainly done the hard work; he begins by telling us how heavy an iron Model number 4 printing press is, having bought one and with his friend Dennis manhandled it into his study, where they couldn't lift it onto the desk. The first thing the Smyth chapel did was to set and print four lines of a Keith Douglas poem, ‘Stars’. Ruefully, Smyth concludes, ‘Printing brings errors into being with an astonishing frequency: it is difficult to appreciate how hard it is to set even the most unremarkable line of blank verse with any kind of accuracy until one tries’ (p. 5).

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: Review · Consensus signal: Review
Teacher disagreement score0.114
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1140.031

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 head0.015
GPT teacher head0.175
Teacher spread0.159 · 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
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

Citations0
Published2018
Admission routes1
Has abstractyes

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