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Record W2903200773 · doi:10.3167/hrrh.2018.440107

Whitewashing History

2018· article· en· W2903200773 on OpenAlexvenueno aff
Philip Dwyer

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentSuperstitionIgnoranceIrrationalityIdeologyEpistemologyHistorySociologyPhilosophyAestheticsRationalityLawPolitical sciencePoliticsTheology

Abstract

fetched live from OpenAlex

In Steven Pinker’s The Better Angels of Our Nature, there is a before and an after. Before the Enlightenment, the world was superstitious, cruel, and violent; after the Enlightenment, the world was rational and more peaceful. Pinker thus reduces violence to a fairly simplistic concept: all violence can be equated with irrationality, unreason, and ignorance. History is never as straightforward as Pinker would have his readers believe, and violence is a much more complex notion that is often driven not by superstition or unreason, but perfectly “rational” motives. This article argues that there is little causal connection between Enlightenment values and the decline in violence and that changes came about as a result of a complex series of reasons, some of them less than edifying. It raises the interesting question of whether ideas drive history, or whether they are simply the “ideological” bedrock on which change is grounded.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.013
Scholarly communication0.0080.007
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0340.003

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 head0.117
GPT teacher head0.280
Teacher spread0.163 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations14
Published2018
Admission routes1
Has abstractyes

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