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Record W4397013075 · doi:10.4324/9781003101895-4

Imperial Sentiment in Canada

2023· book-chapter· en· W4397013075 on OpenAlexaboutno aff
Susan K. Martin, Caroline Daley, Elizabeth Dimock, Cheryl Cassidy, Cecily Devereux

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsSentiment analysisHistoryComputer scienceNatural language processing

Abstract

fetched live from OpenAlex

Mr. (Joseph) Chamberlain, whose plain hope it is to identify his name and period of office with the practical Federation of the British Empire, will shortly receive important assistance to this end from a quarter in which he has probably not been taught to look for it—the Liberal party in Canada, which now holds the reins of power in the Dominion. Hitherto, it might almost be supposed by the casual reader of contemporary history, that a monopoly of Canadian loyalty to the mother country was held by the Conservatives of the colony. The late Sir John Macdonald was the head and front of it, and this able politician’s eloquence and plausibility were such that he contrived to stand at the head of his party as the personification of impassioned devotion to England for many years....In this connection, it is surprising to note how an accustomed way of looking at things will survive much that should conduce to another point of view. Sir John Macdonald’s notable “National Policy” was conceived and carried out in plain opposition to British interest as a whole, and many of its tariff provisions were directly aimed at British manufactures....

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)0.001
metaresearch head score (Gemma)0.004
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: Other
Teacher disagreement score0.162
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0390.010
Scholarly communication0.0160.002
Open science0.0010.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0270.002

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 head0.023
GPT teacher head0.266
Teacher spread0.243 · 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

Citations0
Published2023
Admission routes1
Has abstractno

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