The transportation of embedded inversion in world Englishes
Bibliographic record
Abstract
Abstract The present study uses private correspondence to investigate the use of embedded inversion on both sides of the Atlantic as an illustration of the spread of spoken/conversational features through writing. The paper discusses the use of embedded inversion in Irish English (IrE) and briefly compares its occurrence in other varieties of English during the 19th century. The data come from CORIECOR, the Corpus of Irish English Correspondence , which contains emigrant letters written to and by Irish emigrants from 1760 to 1940. The letters were sent mainly between Ireland and other countries such as the United States, Canada, Great Britain, New Zealand, Australia, and Argentina, and therefore provide an empirical base for studies of historical change. By using corpus linguistics techniques, we analyze possible connections between American English and IrE. The occurrence of embedded inversion in CORIECOR is compared with other historical corpora such as the Corpus of Historical American English , which provides data from one of the main destinations of Irish emigrants.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".