“Orð eftir orð,” “orð eftir orði”: the Progress of the Dictionary of Old Norse Prose
Bibliographic record
Abstract
ABSTRACT: Volumes 1 to 3 of the Ordbog over det norrøne prosasprog/Dictionary of Old Nordic Prose ( ONP ), along with a “User Guide,” have appeared in the last ten years, the twelfth volume, containing the Indexes, having appeared first in 1989. The project has therefore reached a point where it is possible to evaluate editorial policy. No previous dictionary rivals the ONP , each volume of which contains countless new words, definitions, and senses. The volumes offer succinct information on morphology, translations into both Danish and English, clear indications as to manuscript witnesses and bibliographical references. Understandably but regrettably poetic vocabulary, on the other hand, receives only limited coverage in ONP . ONP is not encyclopaedic in its approach, and it contains a few small inconsistencies and imprecisions. All in all, though, the editorial team is to be congratulated for its splendid work, while at the same time one registers disappointment that the preparation of this indispensable dictionary is about to undergo further delays and clearly is set to become a very long-term project.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".