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Record W1507228300 · doi:10.1017/cbo9780511486920.011

The legacy of British and Irish English in Newfoundland

2005· book-chapter· en· W1507228300 on OpenAlexaboutno aff
Sandra Clarke

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationIrishHomelandSettlement (finance)MainlandGeographerGeographyImmigrationPeriod (music)HistoryEthnologyGenealogyArchaeologyAncient historyPoliticsCartographyPolitical scienceLawArt

Abstract

fetched live from OpenAlex

In the unravelling of the complex history of transported Englishes, a special role is played by the island of Newfoundland – which in 1949, after almost four hundred years of existence as a British colony, became along with Labrador the tenth province of Canada. From a sociohistorical perspective, the speech of the island occupies a unique position in the investigation of transplanted English, for several important reasons. First of all, Newfoundland varieties are among the oldest of any transported English: the island was claimed for the British crown in 1583, and English settlement dates from the first decade of the seventeenth century. Secondly, the origins of British and Irish emigrants to Newfoundland have been documented to a degree virtually unprecedented in the history of New World settlement, a task facilitated by the fact that the two major source areas for emigration were highly geographically restricted. As the historical geographer John Mannion (1977:7) has observed, 'It is unlikely that any other province or state in contemporary North America drew such an overwhelming proportion of its immigrants from such localized source areas in the European homeland over so substantial a period of time.' Thirdly, as an island off the east coast of North America, Newfoundland remained relatively isolated from the rest of the continent until the mid twentieth century, the majority of residents having little contact with mainland speech varieties.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.979
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.232
Teacher spread0.212 · 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 teacher head, 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

Citations27
Published2005
Admission routes1
Has abstractyes

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