Bibliographic record
Abstract
IN a 1916 article Henry Bradley proposed the emendation of Genesis A, line 1705, from þancolmod wer þeawum hydig to þancolmod wer Þare wæs haten.1 Understandably, his over-complicated suggestion for reconstruction has not received support, but the grounds for believing the line includes some textual error are sufficiently strong to merit further consideration of whether a better reading of line 1705b is not possible. First, this is the precise point at which we would expect the name Thare, father of Abraham (Genesis 11:26–7). Bradley argued that the poet ‘can have had no reason for leaving the patriarch anonymous’ and, more tellingly, the name is used twice, later in the poem as part of a patronymic for Abraham (eafora Þares: line 2054; Þares afera: line 2834), which perhaps implies that the author felt he had already explained who Þare was. Indeed, as Bradley pointed out, ‘the description þancolmod wer [in line 1705a], applied to a man about whom nothing whatever is known except his name and his place in the genealogy, decidedly looks as if it were introduced for the sake of alliteration with the name [Þare].’2
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 | 0.015 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.032 |
| Scholarly communication | 0.011 | 0.021 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.016 | 0.017 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".