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Record W4395040297 · doi:10.1353/aca.2023.a925078

Land Rich, Cash Poor: The Settler-Colonial Beginnings of the University of New Brunswick, 1785-1829

2023· article· fr· W4395040297 on OpenAlexvenueaboutno aff
Richard Yeomans

Bibliographic record

VenueAcadiensis · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismCashArchaeologyHistoryBusinessFinance

Abstract

fetched live from OpenAlex

Abstract: Cet article examine les débuts des établissements qui ont précédé l'Université du Nouveau-Brunswick – la Fredericton Academy et le College of New Brunswick – et l'incidence qu'a eue le développement de l'éducation collégiale sur celui de l'État colonisateur. Il fait valoir que les élites coloniales qui cherchaient à construire une école pour leurs enfants non seulement le firent sur les terres non cédées des Wolastoqey, mais de plus assurèrent son financement et son fonctionnement par l'appropriation indue d'autres fonds et en contravention du droit britannique en vigueur. Les actions de l'exécutif de la colonie concernant l'école collégiale construite à Fredericton permirent à la Chambre d'assemblée d'accroître son autonomie politique et son pouvoir de contribuer à façonner l'avenir de la province. Abstract: This article investigates the early history of the predecessor institutions of the University of New Brunswick – the Fredericton Academy and the College of New Brunswick – and considers how the development of collegiate education influenced that of the settler state. It argues that colonial elites who sought to build a school for their children not only did so on unceded Wolastoqey lands, but also supported and operated their school through the misappropriation of other funds and in opposition to established British law. The actions of the colony's executive regarding the collegiate school built in Fredericton allowed the House of Assembly to gain greater political autonomy and power to help shape the province's future.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.213
Teacher spread0.198 · 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
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

Citations2
Published2023
Admission routes2
Has abstractyes

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