Cædmon's Hymn: A Multimedia Study, Edition and Archive (pre-publication author manuscript)
Bibliographic record
Abstract
This is the author's pre-publication manuscript of the monograph Cædmon's Hymn: A Multimedia Study, Edition and Archive (SEENET A.8; Cambridge: Medieval Academy of America and D. S. Brewer, 2005; xxii + 261 pp. + CD-ROM). Reprinted as an internet edition in 2018 (SEENET, https://caedmon.seenet.org/). The book is a critical study and multi-recension edition of the Old English Cædmon's Hymn, with chapters on Bede and Cædmon, sources and analogues, Germanic convention, the manuscripts, filiation and transmission, language, and editorial method, together with critical editions of each recension, supplementary notes, glossary, and apparatus. The manuscript was prepared with the assistance of Dawn Collins, Matt Van Egmond, Jon Lane, Catherine Larson, Angela Mlynarski, Asia Nelson, Lyndon Simmons, and Shelley Stigter. Status of this file. This is a draft, not the published text: it is recovered from a print spool (PostScript) of 26 May 2005 and converted to a searchable PDF. The front matter still carries editorial placeholders ({{Publication Information}}, {{Copyright and LOC information}}) in place of the final publisher apparatus, and pagination and minor details differ from the published volume. It is deposited as an open author manuscript for reference and citation; for the version of record, consult the published SEENET edition.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.123 | 0.024 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".