Annette Klosa-Kückelhaus and Ilan Kernerman (eds.). 2022. Lexicography of Coronavirus-related Neologisms
Bibliographic record
Abstract
The book Lexicography of Coronavirus-related Neologisms is a timely response to the challenges posed by the expansion of neologisms amid the COVID-19 pandemic, an unprecedented global health crisis. Since lexicography ‘has always had to adapt to developments in society and language’ (p. 2), it becomes the indispensable duty of lexicographers to identify, analyse, and incorporate neologisms into their work. In the Introduction, Klosa-Kückelhaus and Kernerman provide an overview of the research background and outline the main contents of this volume. The book is a compilation of papers presented at the Third Globalex Workshop on Lexicography and Neology (GWLN 2021), an online conference specifically focused on the intersection of neology and lexicography. The editors highlight that the studies within this volume explore various aspects of neologisms, including their origin, distribution, identification, and evaluation. The volume is structured into four distinct groups of papers, each addressing these topics in-depth. The first group consists of three papers that delve into Coronavirus-related neologisms in English, German, and Korean. These papers are the outcome of extensive neological and lexicographic research conducted within the authors’ respective institutions during the pandemic. In the first paper, Salazar and Wild discussed how the Oxford English Dictionary identified and documented, on the basis of the 14-billion-words Oxford Languages’ monitor corpus of English and other text databases, the language of COVID-19 in its special updates of COVID-19-related words and Words of an Unprecedented Year report in 2020. The term Covid-19 is one of the most noticeable lexical innovations, and blending and compounding are among the most productive methods of neology (e.g., producing neologisms like covidivorces, Zoombombing and pancession). Most of the pandemic neologisms are existing words acquiring new sense or gaining special significance, like social distancing, lockdown and coronavirus, and some scientific terminology is incorporated into general discourse, such as reproduction number and community transmission. Some of the neologisms show regional variation (e.g., self-isolate (Canada, Great Britain, Ireland, Australia, and New Zealand) vs. self-quarantine (USA), and circuit breaker (Great Britain and Singapore).
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".