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Record W2325331109 · doi:10.1177/0169796x12463144

The Social Science of Empire

2012· article· en· W2325331109 on OpenAlexaff
Lempert David

Bibliographic record

VenueJournal of Developing Societies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsEmpireDisciplineIdeologySociologySocial sciencePolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This essay both advocates and presents the research agenda for an interdisciplinary approach to a social science of empire, using, as its springboard, the review of four new books offered by three US publishers, linked in an endeavor called the “American Empire Project.” It begins with a historic look at gaps and politicization in the study of empire. The piece then presents a research agenda that would comprise the social science study of empire, with review of work to date that remains in its infancy in largely unconnected research across several disciplines. The review also examines the approach of the four works, noting their contributions within limited confines of historical time frame, case study methodology, author ideologies, and disciplinary focus.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0050.073
Scholarly communication0.0110.011
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.367
Teacher spread0.303 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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