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Record W4288742845 · doi:10.1163/18765610-29020003

British Commonwealth Archives from Far North to Distant South: Neglected Resources for Cold War International History

2022· article· en· W4288742845 on OpenAlexaboutno aff
Priscilla Roberts

Bibliographic record

VenueJournal of American-East Asian Relations · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsCommonwealthNational archivesBureaucracyPolitical sciencePower (physics)Diplomatic historyLibrary scienceInternational relationsHistoryMedia studiesPublic administrationLawSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract British Commonwealth archives constitite a rich and often under-utilized source of material for understanding the international history of the 20th and 21st centuries. From the late 19th Century onward, Canada, Australia, and New Zealand each enjoyed close and confidential relations with not just Britain, but with each other and increasingly, too, with the United States. They also participated in major international organizations at both an official and non-governmental level. Although or perhaps because each was a “middle” rather than “great” power, as each country developed its own diplomatic bureaucracy, their representatives often had informal and even intimate insights into the policies of a wide range of countries. This article introduces the highlights of each nation’s major archival repositories for materials relating to international affairs. While the holdings of the Library and Archives of Canada in Ottawa, the National Archives of Australia and the National Library of Australia in Canberra, and the National Archives of New Zealand in Wellington all feature prominently, the author casts a wider net and draw researchers’ attention to additional important and often under-utilized collections scattered across the different countries.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.997

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 studies0.0010.000
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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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
Published2022
Admission routes1
Has abstractyes

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