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Record W6889750621 · doi:10.25951/11268

Towards a historical corpus of Canadian English letters and diaries

2023· other· en· W6889750621 on OpenAlexaboutno aff

Bibliographic record

VenueAisberg (University of Bergamo) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSociolinguisticsVariety (cybernetics)Varieties of EnglishCorpus linguisticsEnglish languageHistorical linguisticsLanguage contactBritish English

Abstract

fetched live from OpenAlex

The paper reports on the compilation and illustrates the main features of a corpus of manuscript ego documents written in English by both adults and children in the nineteenth and early-twentieth centuries in Canada – a crucial time in the history of the country and in the development of the Canadian variety of English. The corpus is part of a larger project that intends to contribute to Canadian studies and English historical sociolinguistics by a) tracing the evolution of the specificities of Canadian English in a diachronic perspective; b) investigating the contribution of different languages or varieties of the same language to the development of Canadian English; and c) analyzing how demographic and social differences are encoded in and have influenced language use in Canada. Some preliminary findings are also presented.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.056
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0410.078
Science and technology studies0.0140.004
Scholarly communication0.0090.002
Open science0.0030.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.003

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 head0.011
GPT teacher head0.161
Teacher spread0.150 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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