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Record W4366384833 · doi:10.1017/9781108786430.004

Initial Choices and Conditions

2023· book-chapter· en· W4366384833 on OpenAlexaboutno aff
Aviel Roshwald

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsCabinet (room)GermanQueen (butterfly)Prime ministerPoliticsLawPolitical scienceAdversaryEconomic historyMartial lawHistoryArchaeology

Abstract

fetched live from OpenAlex

The German invasion of the Netherlands commenced on May 10, 1940 and ended with the Dutch armed forces’ capitulation four days later. 1 Rapid and decisive though this defeat may have been, the Dutch military did manage to extract a political silver lining from its encounter with the Wehrmacht’s overwhelming power: German airborne troops sent behind the lines to capture the royal family in The Hague were held off long enough to allow the escape of Queen Wilhelmina’s daughter Juliana and son-in-law Prince Bernhard, along with their children, on May 12, followed by the queen herself on the 13th. The monarch’s initial plan of having the British destroyer on which she had embarked take her to join Dutch forces in the country’s southwest was overtaken by the rapid advance of German forces; all the royals ended up conveyed to London, with Princess Juliana eventually being sent on to Canada as a hedge against the contingency of a German invasion of the British Isles. The members of the Dutch cabinet, backed by a coalition of most of the country’s major political parties, also departed for Britain at the urging of several outspoken ministers, who overrode the hesitations of a somewhat shell-shocked prime minister, Dirk Jan de Geer. In London, they joined two ministers already visiting the UK for the coordination of military efforts. Queen and cabinet together constituted a government-in-exile for the duration of their country’s occupation by the enemy. During the weeks that followed, the prime minister’s inclination to negotiate some sort of compromise with a Germany whose victories seemed irreversible were overridden by a defiant queen, backed by a majority of the cabinet; Wilhelmina accepted de Geer’s resignation in August. His place was taken by Pieter Gerbrandy, a maverick member of the Anti-Revolutionary Party – a conservative Calvinist party supportive of strong central government and historically more open than de Geer’s Christian Historical Union to working across sectarian lines with Catholic parties. Gerbrandy’s voice had been critical in the cabinet’s original decision to decamp to the United Kingdom.

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)0.004
metaresearch head score (Gemma)0.012
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: Other · Consensus signal: Other
Teacher disagreement score0.225
Threshold uncertainty score0.752

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0090.005
Open science0.0020.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2250.067

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 head0.055
GPT teacher head0.221
Teacher spread0.166 · 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
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
Published2023
Admission routes1
Has abstractyes

Explore more

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