Dictionaries and the Digital Revolution: A Focus on Users and Lexical Databases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It was March 2012 in Paris: one of us was attending the annual Journée des dictionnaires organized by Jean Pruvost. Paul Bogaards was also there. During a break, we began discussing the upheavals in the dictionary world caused by the digital age. That was when the idea for this special issue of IJL was conceived. In August 2012, a number of people at the 15th Euralex Congress were approached about the project and, according to Paul, “the idea was enthusiastically received”. Paul Bogaards passed away only a few weeks later in October 2012, so naturally we wish to dedicate this special issue to him. Thank you to Anne Dykstra for making this issue possible. This digital revolution will take us from one universe to another, from paper dictionaries to digital dictionaries. The two editors responsible for this special issue, speaking from a professional standpoint of course, belong to one or the other of these universes. Monique C. Cormier specializes in historical lexicography: her medium is paper, at least for original versions. Terminology specialist Marie-Claude L’Homme deals primarily with digital media. We have extensive experience with both paper and digital media and agree on the need to understand our current intermediate state. We thus venture without regret and without fear.
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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it