MétaCan
Menu
Back to cohort
Record W598725094

Compact Oxford thesaurus for university and college students

2007· book· en· W598725094 on OpenAlexaboutno aff
Sara Hawker, Maurice Waite

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThesaurusComputer scienceWorld Wide WebRelevance (law)Information retrievalGrammarNatural language processingLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The Compact Oxford Thesaurus for Students is a brand-new title specifically designed to meet the needs of today's students. It is perfect for student reference and everyday study needs. The thesaurus text is accessible and easy to use, with the most useful and common synonyms placed first. Throughout the thesaurus text there are notes giving advice on commonly confused words such as imply/infer, and affect/effect. The thesaurus has been market-tested with both teachers and students. Of particular relevance is the centre supplement, which gives lots of practical information - to help students use a thesaurus and write more effectively. As well as the printed book, there is an Online Resource Centre, accessed via weblinks given in the book, which gives additional information. This portable and affordable thesaurus is an essential reference tool for all college and university students who need practical advice about language, and those who want to write effectively and with confidence. The thesaurus includes 12 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 click here 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.259
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.008
Science and technology studies0.0020.001
Scholarly communication0.0070.006
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2590.177

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.

Opus teacher head0.031
GPT teacher head0.246
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicLexicography and Language StudiesFrench-language works237,207