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Record W4312278983 · doi:10.15173/russell.v40i2.4572

“An Isolated Outpost of   Western Civilization”

2021· article· en· W4312278983 on OpenAlexaffvenue
Andrew G. Bone

Bibliographic record

VenueRussell the Journal of Bertrand Russell Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCommonwealthGeopoliticsCold warMindsetWhite (mutation)CivilizationPoliticsImmigrationPopulationState (computer science)Political scienceSociologyHistoryLawGender studiesEconomic historyDemography

Abstract

fetched live from OpenAlex

On his Australian lecture tour of 1950 Russell talked more about the global dimensions of the Cold War than about the politics, culture and society of the country he was visiting for the first and only time. As a keen but non-specialist observer, however, he readily offered his impressions and opinions of Australia and its place in the world. Like the majority of his hosts, Russell regarded this British Commonwealth state and American ally as an integral if distant part of the “West” and assumed that its comparatively small and overwhelmingly white population could continue to exist largely apart from the region within which it was situated. In so doing, he emphasized Australia’s geopolitical vulnerabilities and demographic challenges, sometimes also displaying a Cold War mindset that remained decidedly anti-Soviet at the mid-century mark. Russell’s reflections on these matters, and the linkages he drew between them, spoke to (rather than questioned) deep-seated Australian anxieties and prejudices about national security, race and immigration.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.019
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.046
GPT teacher head0.337
Teacher spread0.290 · 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
Published2021
Admission routes2
Has abstractyes

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