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Record W1581999406 · doi:10.21237/c7clio3212933

Multicultural vs. Post-Multicultural World History: A Review Essay

2012· review· en· W1581999406 on OpenAlexaff
Martin Hewson

Bibliographic record

VenueCliodynamics The Journal of Quantitative History and Cultural Evolution · 2012
Typereview
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsEurocentrismMulticulturalismWorld historyCounterpointScrutinyChinaCivilizationPolitical scienceSocial scienceSociologyDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

Over the last two decades, a trend of multiculturalism in world history has enjoyed a largely uncontested rise to prominence. Its main aim has been to challenge Eurocentrism. Its main achievement is to have issued a corrective in early modern economic history: prior to the industrial revolution, there were numerous economic parallels between Europe and Asia, particularly China. But multicultural world history is now under greater scrutiny and challenge for marginalizing the West and downplaying numerous non-economic divergences of the West. In response, a post-multicultural world history is now emerging. Its most important work so far is Ricardo Duchesne’s The Uniqueness of Western Civilization (2011). The main achievement of post-multicultural world history is to have established that there were numerous critical non-economic divergences between Europe and other regions. The West was both peculiar and inventive across many domains.

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)0.001
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.107
GPT teacher head0.375
Teacher spread0.269 · 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
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

Citations1
Published2012
Admission routes1
Has abstractyes

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