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Record W4376601465 · doi:10.36950/apd-2022-006

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2023· article· en· W4376601465 on OpenAlexaboutno aff
Mark Geldof

Bibliographic record

VenueActa Periodica Duellatorum · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAsideSWORDHistoryOrder (exchange)LiteratureMiddle EnglishQuarter (Canadian coin)ClassicsArtComputer scienceWorld Wide WebArchaeology

Abstract

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London, British Library Additional MS 39564 is an anonymous collection of English lessons for the two-hand sword, tentatively dated to the first quarter of the sixteenth century. This manuscript is peculiar in several ways, aside from it being one of only three such texts known to scholars. This paper discusses two aspects of this manuscript that speak to its origins and its survival in its present form. The lessons appear to be out of order and while there is no challenge in rearranging them in a logical fashion, this paper explains why that disorder tells us that Add. MS 39564 is a copy made from loose bi-folds from a now lost exemplar. This also explains the placement of the ‘Amen Quod J Ledall’ formula between lessons, rather than at the end of the text (where such an attribution is traditionally placed). Finally, this paper explains the significance of that attribution, suggesting it does not identify an original composer or user of the text, only the name of the scribe who produced the unbound sheets that acted as the exemplar for our surviving text. Both of these points remind us that these texts were part of a complicated community of composers, scribes, and readers and that the path of survival is often indirect and meandering.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.214
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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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