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Record W4284893656 · doi:10.1017/9781009071499.008

Conclusion

2022· book-chapter· en· W4284893656 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCivil societyPolitical sciencePublic administrationCorporate governanceGlobal governanceColonialismGovernment (linguistics)Spanish Civil WarPower (physics)International relationsLawPoliticsManagement

Abstract

fetched live from OpenAlex

This book presents a comparative study of the historical experiences of Britons who entered the international civil service between 1945 and 1970 with those who worked and volunteered in international non-governmental and civil society organizations. International service assumed two forms after the Second World War. One was the international civil service, much of which was concentrated in the United Nations (UN) family of international organizations. The other was international civil society, comprised of older voluntary organizations that expanded their activities after the war, and new transnational civil society organizations created between the 1940s and the 1970s. The book assesses the respective influence of Britons in these sectors on the post-1945 development of international public policy and on Britain’s transition from a great power to one that sought to position itself as a leading contributor to international governance and voluntary activism. It presents a comparative analysis of the personal histories of hundreds of Britons who represented Britain at the UN and worked in the UN Secretariat; served in UN humanitarian, development, and social governance institutions and missions; participated in the world government movement; volunteered in the Friends Postwar International Service; and lobbied for decolonization and anti-racism through the Movement for Colonial Freedom.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score1.000

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 science0.0000.001
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 head0.034
GPT teacher head0.176
Teacher spread0.142 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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