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Record W2772312892 · doi:10.3138/cjh.ach.52.3.05

The Order of the British Empire after the British Empire

2017· article· en· W2772312892 on OpenAlexvenueno aff
Tobias Harper

Bibliographic record

VenueJournal of History · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireHonourColonialismOrder (exchange)British EmpireState (computer science)LawSociologySocial orderHistoryEconomic historyPoliticsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

The British government created the Order of the British Empire in 1917. In theory, the new order provided a unified trans-imperial system for marking both social status and the relative value of service to the state. It also borrowed from a late nineteenth century technology of imperial management, refined in India, through which the crown promised status and recognition to colonial elites and professional classes in exchange for a symbolic demonstration of their loyalty. From the 1960s, however, politicians and administrators in Britain downplayed the imperial character of this order. As governments of former colonies adopted national orders it was transformed into an almost purely domestic honour with a focus on local service. This essay examines the sometimes contradictory process by which the name survived even as the empire faded. It argues that from the 1960s the British honours system was simultaneously nostalgic and forgetful of empire. This is most evident in the fact that immigrants from the former empire were now celebrated as British citizens through an honour that retained the language and imagery of empire. Such people were asked to buy in to a system that was created in and named for the empire in order to be included as part of the nation. For some, this was a good deal. Others, most famously poet Benjamin Zephaniah, refused to “sell out.”

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 categoriesScience and technology studies
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 score0.406
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.213
Teacher spread0.188 · 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.

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
Published2017
Admission routes1
Has abstractyes

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