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Record W7165381847 · doi:10.5281/zenodo.20755458

Cædmon's Hymn: A Multimedia Study, Edition and Archive — author's source documents (final Word manuscript files, 2005)

2005· article· en· W7165381847 on OpenAlexaff
Daniel Paul O’Donnell

Bibliographic record

VenueOpen MIND · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsSession (web analytics)XMLWord (group theory)WitnessWord processingTable (database)Set (abstract data type)

Abstract

fetched live from OpenAlex

The author's editable Microsoft Word source files for the monograph Cædmon's Hymn: A Multimedia Study, Edition and Archive (SEENET A.8; Cambridge: Medieval Academy of America and D. S. Brewer, 2005). They represent the final author state of the text, from the editing session of 2 September 2005, and comprise the Word master document together with the chapters, supplementary notes, critical editions, witness archive, glossary, bibliography, analytic index, and front matter. The set was assembled as the newest surviving version of each component from the author's working folders: the master and installation documents from one working copy, the chapters and apparatus from another, all carrying 2 September 2005 timestamps. Two minor components (a chapter table and the jacket blurb) survive only in earlier versions and are included as found. Word autosave backups (.wbk) are omitted as duplicates. The digital-edition manuscript transcriptions and edition archive (~116 MB of XML and image files) are not included here: they belong to the digital edition rather than the book text and are a separate body of material. This record is a companion to the pre-publication PDF manuscript (10.5281/zenodo.20755066). The published edition is available as a 2018 internet reprint at https://caedmon.seenet.org/.

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)0.001
metaresearch head score (Gemma)0.005
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: Dataset · Consensus signal: none
Teacher disagreement score0.223
Threshold uncertainty score0.747

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2230.053

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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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
GenreDataset

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
Published2005
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicMedieval Literature and HistoryFrench-language works237,207