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Record W6926335973 · doi:10.23636/1059

The Bestiary in British Library, Royal MS. 2 C. XII and its Role in Medieval Education

2014· article· en· W6926335973 on OpenAlexaboutno aff

Bibliographic record

VenueBritish Library Research Repository · 2014
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsBestiaryNothingDoctrineMiddle AgesQuarter (Canadian coin)Medieval literature

Abstract

fetched live from OpenAlex

The process of medieval education is still very obscure to us, and indeed very little is known about how texts were used in schools. This is particularly true of the role and function of the influential genre of medieval bestiaries in the process of educating novices and pupils in cathedral schools and monasteries. The Royal collection contains one peculiar manuscript, namely Royal 2 C. XII, a bestiary of the so-called BIs Family, made in the first quarter of the thirteenth century, probably at the abbey of St Peter at Gloucester. The text of this bestiary was published at the end of nineteenth century, and thus Royal 2 C. XII is one of the first bestiaries published by modern scholars. The published text has almost nothing exceptional, and it was perhaps for this reason that this manuscript has been almost absolutely neglected by specialists in the field. Nevertheless, the manuscript (contrary to almost all other known manuscripts of this genre) has a large number of contemporary glosses, which were not published, and which shed a light on how the bestiary was used and how students were intended to learn the basic tenets of Christian doctrine from its stories about animals and birds.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.010
GPT teacher head0.255
Teacher spread0.244 · 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 designObservational
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

Citations18
Published2014
Admission routes1
Has abstractyes

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