MétaCan
Menu
Back to cohort
Record W2587626423 · doi:10.7202/1038686ar

“Mysteries divulged”: Philemon Holland’s Paratexts and the Translation of Pliny’s Natural History in Early Modern England

2017· article· en· W2587626423 on OpenAlexaffvenue
Marie-Alice Belle

Bibliographic record

VenueMeta Journal des traducteurs · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRhetoricParatextLiteratureContext (archaeology)Natural historyAudience measurementHistoryNatural (archaeology)Rhetorical questionClassicsArtPhilosophyLinguisticsLawArchaeologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This paper seeks to situate Philemon Holland’s 1601 translation of Pliny’s Natural History in the context of the development of early modern English science. While Holland’s Pliny has traditionally been studied in terms of the early modern reception of the Classics, the establishment of an English rhetoric of translation and the development of English prose, this paper focuses on the discursive and paratextual strategies at work in Holland’s rendering of the botanical and medical books of Pliny’s Natural History . Drawing on and broadening Genette’s definition of paratexts as liminary spaces of authorial—or translatorial—control and self-fashioning, the paper explores the complexities of Holland’s self-defined translation project as the “divulging” of Pliny’s medical and botanical knowledge to a broadened readership. Whereas the prefaces to both volumes of the Natural History rely on the rhetoric of utilitas , or usefulness, to span the spectrum of potential readers, from schoolchildren and “inferior readers” to Humanist scholars and physicians, a closer analysis of the marginal annotations in books XIX to XXVII of the Natural History shows Holland integrating the Continental tradition of learned commentary denouncing the factual, interpretive, and methodological errors in Pliny’s treatise. It is argued that the resulting tension between text and paratext, and between Holland’s prefaces and other kinds of liminary material, ultimately reflects changing attitudes towards ancient science, and the very nature of scientific knowledge in early modern England.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.277
Teacher spread0.222 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations6
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueMeta Journal des traducteursSame topicHistorical and Literary StudiesFrench-language works237,207