The Academic Spoken Word List
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Science and technology studies, Insufficient payload (model declined to judge)
- Consensus categories
- Insufficient payload (model declined to judge)
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Other designConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.879
- Threshold uncertainty score
- 0.999
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.348 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Abstract The linguistic features of academic spoken English are different from those of academic written English. Therefore, for this study, an Academic Spoken Word List (ASWL) was developed and validated to help second language (L2) learners enhance their comprehension of academic speech in English‐medium universities. The ASWL contains 1,741 word families with high frequency and wide range in an academic spoken corpus totaling 13 million words. The list, which features vocabulary from 24 subjects across four equally sized disciplinary subcorpora, is graded into four levels according to Nation's British National Corpus and Corpus of Contemporary American English lists, and each level is divided into sublists of function words and lexical words. Depending on their vocabulary levels, language learners may reach 92–96% coverage of academic speech with the aid of the ASWL. Open Practices This article has been awarded Open Materials and Open Data badges. The composition of the corpora, the Academic Spoken Word List, and sublists are publicly accessible via the Open Science Framework at https://osf.io/gwk45 and the IRIS digital repository at http://www.iris‐database.org . Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki .
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.
The record
- Venue
- Language Learning
- Topic
- Second Language Acquisition and Learning
- Field
- Psychology
- Canadian institutions
- Western University
- Funders
- not available
- Keywords
- VocabularyLinguisticsBritish National CorpusComputer scienceSpoken languageEnglish for academic purposesAmerican EnglishWord lists by frequencyDisciplineLexical densityPsychologyWord listNatural language processingLexical itemWorld Wide WebIndex (typography)SociologySentence
- Has abstract in OpenAlex
- yes