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Record W4392008484 · doi:10.5038/1911-9933.17.2.1979

Book Review: <em>Kings, Conquerors, Psychopaths: From Alexander to Hitler to the Corporation</em>

2023· article· en· W4392008484 on OpenAlexvenueno aff
Tim Bakken

Bibliographic record

VenueGenocide Studies and Prevention · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationPsychologyPsychoanalysisPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The book Kings, Conquerors, Psychopaths is a survey of a vast amount of human wrongdoing. It lays bare the motivations of aggressors who wish to subjugate nations or groups of people and corporate executives and government bureaucrats who make discretionary decisions that harm people. Along with cataloging mass killings by despots and soldiers, the book includes stories about Ponzi-schemers and the deaths of automobile drivers and passengers who were killed by vehicle defects known to the manufacturer. The book posits that “[p]owerful, elite forces are trying to force us backward toward a non-democratic state, one where power, wealth, and prerogative are concentrated into fewer and fewer hands.” In its criticism of the judgment of corporate executives and government bureaucrats, the book could be a tract for intellectual populists. While the power of corporations and bureaucracies can be vast and unrelenting, and as dominating as kings, the book might have made clearer distinctions between direct, intentional killers, like the “psychopaths” and conquerors, and the bureaucrats who run corporations and government agencies. The vivid stories in the book are reminders that democracy and civic action are necessary in countering wrongdoers.

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.054
GPT teacher head0.295
Teacher spread0.242 · 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
GenreReview

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

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