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Record W7039178965

‘To make such things known in my Native Language’: acquiring, translating and disseminating Boehme’s writings in England and Wales

2023· other· en· W7039178965 on OpenAlexfundno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsGermanWelshMonarchyBishopsNinthEstonianAstrology
DOInot available

Abstract

fetched live from OpenAlex

It is significant that between 1645 and 1662 most of Boehme’s treatises and the majority of his letters were printed in English translation at London. Moreover, two shorter pieces were rendered from English into Welsh in 1655. Yet the question of why Boehme’s writings were translated into English and the mechanisms behind this process has never been adequately explained. Among Boehme’s followers there circulated a garbled story that Charles I had been the main patron of the venture before his execution on 30 January 1649. Some also maintained, probably correctly, that after the Restoration of the Stuart monarchy the remaining works were brought out under the auspices of Philip Herbert, fifth Earl of Pembroke. In their eyes this tradition of royal and aristocratic support gave the undertaking prestige. Yet it simplifies developments, obscuring the involvement of a number of people with common aims. Actually there were three overlapping phases. Firstly, before the outbreak of Civil War in August 1642 certain English speakers, who could also read Latin and sometimes German and Dutch as well, obtained Boehme’s writings both in manuscript and print through their associates in the Dutch Republic and Holy Roman Empire. Then manuscript translations were made primarily from German and to a lesser extent Dutch and Latin versions of Boehme’s works. Most of these texts were available in editions published at Amsterdam. These English translations, a few of which are anonymous, circulated privately in much the same way as did other mystical and prophetic writings during the period. Finally, there was an organised scheme for publishing the extant corpus in English. While some of the cost was met by the translators themselves, it is clear that Samuel Hartlib and members of his circle acted as intermediaries by using agents to purchase books, subsequently shipping them to 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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