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Record W4387565241 · doi:10.1515/9781474460583

Lawrie Todd

2023· book· en· W4387565241 on OpenAlexaboutno aff
John Galt

Bibliographic record

VenueEdinburgh University Press eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

A former revolutionary Scotsman achieves prosperity in New York through hard work and social networking Scholarly edition that distinguishes the 1832 text from the 1830 texts and presents it with a glossary of Scottish terms and historical notes Introduction that examines Galt’s techniques for combining fiction with lived experience and that provides contextual information about emigration from Scotland, political reform in Britain, and socio-economic conditions and aspirations in New York at the beginning of the nineteenth century Maps that enable readers to put together the novel’s imaginary and actual locations In Lawrie Todd (1830; rev. ed. 1832), John Galt paints an optimistic portrait of Scottish emigration to North America. Designed as a fictional autobiography, the novel charts the fortunes of its protagonist from his departure from Scotland—to avoid being tried for treason over his French Revolutionary sympathies—to his rise to prosperity as a shopkeeper in New York City and imaginary towns near Rochester. This edition of the novel provides a contextual introduction, explanatory notes and maps that connect Todd’s life story with boom times in New York and with Galt’s own efforts at social entrepreneurship in Canada as well as with debates over emigration and political reforms in Britain. It sheds light on Galt’s methods of characterisation, including his use of Scots and Yankee" speech habits and adaptation of real-life models, and on his popularity with readers in his own time. "

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.428
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.204
Teacher spread0.154 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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