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Review of Herbert Butterfield, <i>Liberty in the Modern World: Being the Third Lectures on the Chancellor Dunning Trust</i>, delivered at Queen’s University, Kingston, Ontario, 1952 (Toronto: Ryerson Press, 1952)

2025· book-chapter· en· W4408678041 on OpenAlexaboutno aff
Martin Wight

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)SociologyEconomic historyHistoryBiologyZoology

Abstract

fetched live from OpenAlex

Abstract Wight wrote that Butterfield held that “it is the historian’s business not to pass moral judgments but to attain a compassionate understanding. . . . At the centre of Mr. Butterfield’s argument is a golden picture of the eighteenth-century balance of power: an age of limited warfare, no single dominant Power, and secure and tranquil small States. . . … This is so extravagant a description of the State-system exemplified by Frederick the Great and Catherine the Great that it discredits the particle of truth it may contain. Of that system Sorel said that two episodes were typical — its respect for international obligation was shown by Frederick’s seizure of Silesia, its respect for weak States by the Partition of Poland. . . . Just as Professor Butterfield’s historical philosophy requires us not to make a moral condemnation of Hitler or Stalin but to analyse our collective guilt for their emergence into power, so his political philosophy enjoins us, in whatever measures we take to restrain them, to avoid self-righteous attitudes towards them. The value of this doctrine is unquestionable, and yet it fails to encompass the whole problem. For the Christian category of political discussion has traditionally been, not charity or humility, but justice. The history of attitudes of appeasement. . . . has shown how easy it is, in seeking to avoid self-righteousness about the tyrant and the aggressor, to forget the considerations due to his victims and to the international community as a whole.”

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.667
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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
Published2025
Admission routes1
Has abstractyes

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