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Samuel Revans and Company: Colonial Commercial Trade Newspapers in the Age of Responsible Government

2024· book-chapter· en· W4410891287 on OpenAlexaboutno aff
Melodee H. Wood

Bibliographic record

VenueEdinburgh University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperColonialismGovernment (linguistics)HistoryEconomic historyPolitical scienceBusinessAdvertisingPhilosophyLawLinguistics

Abstract

fetched live from OpenAlex

This chapter focuses on Samuel Revans (1807–88), who was responsible for newspapers in different colonies – The Montreal Daily Advertiser in Canada and the Wellington-based The New Zealand Gazette. The two publications are located in their respective political and economic contexts to correct misperceptions about their ideological priorities and commitments. Noting that The Advertiser in Canada has routinely been characterised as sympathetic to the radical Reform Party, and the Gazette as a mouthpiece of the pro-establishment New Zealand Company, the chapter looks beyond the two periodicals’ political articles to read both in their entirety and in relation to Revans’s personal writings. The conclusion is that underlying the different political causes Revans pursued in Canada and New Zealand, he was consistent in serving the economic interests of the settler colonies in both contexts. Although Revans’s political positions in Canada and New Zealand were at odds with each other, his publications in both colonies always provided comprehensive trade information in order to inform and thus promote the expanding settler-colonial economies. Revans consistently supported the development of colonial markets, the engagement of colonists in global trade, and the improvement of government to support free enterprise and reward hard work and good character.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.008
Scholarly communication0.0100.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.040
GPT teacher head0.260
Teacher spread0.220 · 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
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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