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Record W2296951317 · doi:10.14288/1.0087271

Sir Hugh Clifford and imperialism : a perspective

2009· article· en· W2296951317 on OpenAlexaff
Andrew Rudyerd Wynn-Williams

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPerspective (graphical)EpistemologySociologyHistoryPhilosophyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Sir Hugh Clifford was a British Imperial official who was born in 1866 and died in 1941. This paper attempts to understand Clifford and his perception of imperialism. First it examines his life and career to provide a framework for understanding his views. Then it uses Clifford’s own published material to study his opinions about three different aspects of imperialism: the history of European expansion, the benefits the Empire provides for its subject peoples and the racial hierarchy of the British Empire. Clifford worked throughout his career to protect his subjects’ rights and look after their well-being yet tried to prevent them from acquiring real political power. Clifford’s written work explains this paternalistic attitude. It reveals that although he knew the Empire was driven by economics and that its history was not entirely glorious he felt it was vindicated if governed by the altruistic principles which the less developed races could not yet comprehend.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.029
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0090.008
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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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
Published2009
Admission routes1
Has abstractyes

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