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Record W4245639963 · doi:10.1017/cbo9781316014790

Tyrants

2016· book· en· W4245639963 on OpenAlexaff
Waller R. Newell

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsCarleton University
Fundersnot available
KeywordsMillenarianismJacobinDictatorshipAppealState (computer science)Power (physics)ChinaInjusticeRevolutionary movementAncient historyHistoryLawPolitical scienceDemocracyFrench revolutionPolitics

Abstract

fetched live from OpenAlex

The forces of freedom are challenged everywhere by a newly energized spirit of tyranny, whether it is Jihadist terrorism, Putin's imperialism, or the ambitions of China's dictatorship, writes Waller R. Newell in this engaging exposé of a thousand dangers. We will see why tyranny is a permanent threat by following its strange career from Homeric Bronze Age warriors, through the empires of Alexander the Great and Rome, to the medieval struggle between the City of God and the City of Man, leading to the state-building despots of the Modern Age including the Tudors and 'enlightened despots' such as Peter the Great. The book explores the psychology of tyranny from Nero to Gaddafi, and how it changes with the Jacobin Terror into millenarian revolution. Stimulating and enlightening, Tyrants: A History of Power, Injustice, and Terror will appeal to anyone interested in the danger posed by tyranny and terror in today's world.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.497
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.253
Teacher spread0.226 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

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