Dictionary Visions, Research and Practice
Bibliographic record
Abstract
This book is about dictionaries and dictionary making. In six thematic sections it presents nineteen contributions covering a wide field within lexicography: Online Lexicography, Dictionary Structure, Phraseology in Dictionaries, LSP Lexicography, Dictionaries and the User, plus Etymology, History and Culture in Lexicography. Some chapters focus on theoretical aspects, others report on dictionary work in the making, and still others compare and analyze existing dictionaries. Common to all authors, however, is the concern for the dictionary user. Trivial as it may seem, the fact that dictionaries are meant to fulfill the needs of specific user groups has only recently achieved widespread recognition in the lexicographical literature. This volume shows the many ramifications of this functional approach to lexicography by presenting twenty-two authors representing the state of the art in eleven countries: Canada, Denmark, Germany, Great Britain, Iceland, Israel, Latvia, The Netherlands, Poland, South Africa and Spain.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.029 | 0.024 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".