Bibliographic record
Abstract
Since I completed this book, a number of additional sources have come to my attention, some of them newly published and some overlooked as I wrote, and I would like to draw the attention of readers to some of them. On antiquarianism in general, with particular reference to the work of Momigliano: Peter N. Miller, ed., Momigliano and antiquarianism: Foundations of the modern cultural sciences (Toronto: University of Toronto Press, in association with the UCLA Center for Seventeenth- and Eighteenth-Century Studies and the William Andrews Clark Memorial Library, 2007). On Henri Estienne: Judit Kecskeméti, Bénédicte Boudou and Hélène Cazes, under the direction of Jean Céard, La France des humanistes: Henri II Estienne, éditeur et écrivain (Turnhout: Brepols, 2003). On dictionaries which registered Croatian lexical items, e.g., those of Gelenius, Georgievitz, Vrančić and Megiser: Branko Franolić, A bibliography of Croatian dictionaries (Paris: Nouvelles Editions Latines, 1985) 7–15. On sixteenth-century Germanic philology: William Jervis Jones, Images of language: German attitudes to European languages from 1500 to 1800 , Amsterdam Studies in the Theory and History of Linguistic Science ser. III, Studies in the History of the Language Sciences, vol. 89 (Amsterdam and Philadelphia: John Benjamins, 1999) 1–24. On early modern dictionaries of Dutch: Nicoline van der Sijs, Taal als mensenwerk: Het ontstaan van het ABN (The Hague: SDU Uitgevers, 2004) 29–97 and 353–76.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.268 | 0.266 |
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".