LEXIS - revue de lexicologie anglaise, thème « Lexique, sensations, perceptions et émotions
Bibliographic record
Abstract
The aim of Lexis – Journal in English Lexicology, an online journal with an international scientific committee (ISSN 1951-6215), is to publish articles about the English lexicon with 2 annual thematic issues, as well as a “book review” section and some special issues (conference proceedings), from a synchronic as well as from a diachronic perspective. Lexis – Journal in English Lexicology is indexed in Scopus, MIAR, Mir@bel, Sherpa/Romeo, Isidore, Google Scholar, Journal TOCs, EuroPub, the Directory of Open Access Journals, WorldCat, etc. and evaluated in DOAJ and ERIHPlus. Researchers from various countries world-wide (Algeria, Argentina, Belgium, Bulgaria, Canada, Croatia, Czech Republic, Denmark, England, France, Germany, Ghana, Greece, Hungary, Indonesia, Israel, Italy, Japan, Lesotho, Lithuania, Malaysia, Palestinian Territories, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Sweden, Switzerland, Tunisia, USA, Wales) have contributed to Lexis – Journal in English Lexicology since 2008.Lexis is hosted by the Centre d’Études Linguistiques – Corpus, Discours et Sociétés (CEL – Linguistics Research Center) at the University of Lyon (Jean Moulin Lyon 3) led by Prof. Denis Jamet. If the principal aim of the journal is the study of the English lexicon (its formation, its morphology, its evolution, its links with society, with culture, etc.), the journal could also focus on the links between lexicology and morphology, phonology, syntax, stylistics, etc. Contrastive studies – especially with French – can also be dealt with. The journal will accept articles in English and in French. Abstracts or articles are to be sent to the Head of publication at lexis@univ-lyon3.fr and will be double-blind peer-reviewed by two experts from the scientific committee. Proposals should contain bibliographical references, keywords (in French and in English), and an abstract (5.000 characters maximum).
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.008 |
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".