Bibliographic record
Abstract
Entries in < > brackets correspond to the system of short titles as employed in Healey and Venezky ([1980] 1985) (in turn based on the system of Mitchell et al. 1975Mitchell et al. , 1979)).This is identical to the TEI reference in the Dictionary of Old English Corpus (DOEC or Toronto Corpus), which means that line numbers refer to the beginning of the sentence rather than the line in which the relevant structure occurs.Entries in [ ] brackets refer to the Helsinki Corpus, and refer to the filenames; the full reference for the material in these files can be found in Kytö (1993).Entries from the OED (Oxford English Dictionary) and the MED (Middle English Dictionary) have the reference as given in those sources.Data quoted from other sources will have the reference as given in those sources, augmented with a reference to the edition or concordance used by that source.An exception is data from Visser's data collection, where the reader is referred to Visser (
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".