MétaCan
Menu
Back to cohort
Record W4245907686 · doi:10.1017/cbo9781139057387.002

Introduction

2011· book-chapter· en· W4245907686 on OpenAlexaff
Timothy C. Winegard

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEmpireIndigenousEthnocentrismPower (physics)GlobeIdeologyHistoryAncient historyEconomic historyPolitical scienceGeographyPoliticsLawPsychology

Abstract

fetched live from OpenAlex

The outbreak of the First World War shattered almost a hundred years of relative peace in Europe. Its nations had circumvented large-scale conflict since the defeat of Napoleon in 1815 through treaties, alliances and an aspiration to maintain a balance of power in Europe and empire. In place of war, European armies were deployed to the fringes of empire to gain territorial acquisitions within the imperial scramble, or to quell indigenous rebellions in existing colonies. By 1914, the pan-European empire covered 84% of the globe, compared with 35% in 1800. The British empire encompassed one-fourth of the world and 445 million people lived under some form of British rule. Within the social norms of this Victorian era, and the prevailing ethnocentric ideologies of Social Darwinism, indigenous peoples were seen as an unfortunate component of the ‘white man’s burden’. At the onset of war, no imperialist European state, save for France, regarded its colonial indigenous populations as a source of military manpower for a European war. Contemporary science, social biases and public opinion accepted that certain identifiable ethnic groups lacked the intelligence and integrity to fight modern war. It was also believed that since these groups were the subjects of vast European empires, prudence warned against allowing them to fight in a European war, thus forfeiting white racial supremacy. However, by late 1915, with mounting casualties and an increasing demand for manpower, Britain specifically requested the military inclusion of indigenous populations from the five Dominions.

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 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: Other · Consensus signal: Other
Teacher disagreement score0.313
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3130.159

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 head0.044
GPT teacher head0.234
Teacher spread0.190 · 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.

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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicAnthropological Studies and InsightsFrench-language works237,207