REVIEWING THE BRITISH ENGLISH (BRE) AND AMERICAN ENGLISH (AME) DIALECTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Of the many different dialects of English such as British English (hereafter BrE), American English (hereafter AmE), Australian English (AsE), or Canadian English (CnE) or even Singaporean English (hereafter Singlish), etc, the most common widely use across the globe are BrE and AmE. The two dialects of English, as a matter of fact, are dominantly used in any kinds of fields to mention a few such as politics, economics, diplomatic relationship, medical, information communication and technology (ICT), and education as well. The debate about the use of BrE and AmE often centers on education especially in the process of learning and acquiring the English itself because the two dialects of English provide some different and distinctive features. Because of their differences and distinctive features, the learners often find difficulties and often make them confused which one to use. This paper is attempting to review the unique features of BrE and AmE focusing on the spellings
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it