Bibliographic record
Abstract
This up-to-date, general purpose thesaurus offers over 300,000 alternative and opposite words. Synonyms are given in order of usefulness, showing the most relevant synonym first. Following market research, the third edition of the Oxford Paperback Thesaurus now includes even more, highly illustrative, real examples of usage to show synonyms in context and help you to identify the right sense. In addition, there is a brand-new centre section containing thematic and encyclopedic lists, for example of animals, games, and tools, designed to help you broaden your vocabulary, improve your general knowledge, and solve quizzes and puzzles. The Oxford Paperback Thesaurus also has a new design and layout, making it clear and easy to use. It is perfect for all kinds of writing needs: study, letters, reports, creative writing, and for general reference. The thesaurus includes 3 months' access* to Oxford's premium online dictionary and thesaurus service, Oxford Dictionaries Online, updated regularly with the latest developments to words and meanings, so you will have the most accurate picture of English available. Find out more about our living language using Oxford Dictionaries Online. Hear how words are spoken with thousands of audio pronunciations, and access over 1.9 million real English example sentences to see how words are used in context. Improve your confidence in writing with helpful grammar and punctuation guides, full thesaurus information, style and usage help, and much more. *Available in selected markets (UK, Europe, Australia, Canada, and South Africa). Terms and conditions apply; please see www.oxforddictionaries.com/access for information.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.339 | 0.302 |
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".