Linguistic identity and the study of Emigrant Letters: Irish English in the making
Bibliographic record
Abstract
"This paper builds on the fi ndings from a larger research project that analyses written data extracted from a corpus of emigrant letters. This preliminary study is an exploration of the Irish Emigration Database (IED), an electronic word-searchable collection of primary source documents on Irish emigration to North America (USA and Canada) in the 18th and 19th centuries. The IED contains a variety of original material including emigrant letters, newspaper articles, shipping advertisements, shipping news, passenger lists, offi cial government reports, family papers, births, deaths and marriages and extracts from books and periodicals. The paper focuses specifi cally on the sections dealing with transcriptions of Emigrant Letters sent home and Letters to Irish Emigrants abroad, from which CORIECOR, the Corpus of Irish English Correspondence, is developed. Our study is intended as a fi rst step towards an empirical diachronic account of an important period for the formation of Irish English. A close look at the ocurrence in the corpus of some features such as the use of the progressive form (e.g. I am reading) and the uses of will vs. shall reveals that these features were already part of what is known as Irish English nowadays. Our study covers the period from the early eighteenth century to 1840, a timespan that stretches from the beginning to the middle of the main period of language shift from Irish to English."
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".