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Record W2990077865 · doi:10.32316/hse-rhe.v31i2.4653

Colonization, Education, and the Formation of Moral Character: Edward Gibbon Wakefield’s A Letter from Sydney

2019· article· en· W2990077865 on OpenAlexaffvenueabout
Bruce Curtis

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsCarleton University
Fundersnot available
KeywordsCelibacyCharacter (mathematics)Relation (database)Moral characterColonizationPopulationWelfareSociologyLawHistoryPolitical scienceDemography

Abstract

fetched live from OpenAlex

Edward Gibbon Wakefield proposed a scheme of “systematic colonization” that he claimed would guarantee the formation of civilized moral character in settler societies at the same time as it reproduced imperial class relations. The scheme, which was first hatched after Wakefield read Robert Gourlay’s A Statistical Account of Upper Canada, inverted the dominant understanding of the relation between school and society. Wakefield claimed that without systematic colonization, universal schooling would be dangerous and demoralizing. Wakefield intervened in contemporary debate about welfare reform and population growth, opposing attempts to enforce celibacy on poor women and arguing that free enjoyment of “animal liberty” made women both moral and beautiful.

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)0.002
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 score0.283
Threshold uncertainty score0.563

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.022
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.317
Teacher spread0.258 · 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

Citations1
Published2019
Admission routes3
Has abstractyes

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