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Record W2130464052 · doi:10.1017/s0008423905449987

Globalizing Democracy and Human Rights

2005· article· en· W2130464052 on OpenAlexaff
E. Osei Kwadwo Prempeh

Bibliographic record

VenueCanadian Journal of Political Science · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsCarleton University
Fundersnot available
KeywordsDemocracyHuman rightsGlobalizationGeorge (robot)Successor cardinalPolitical scienceSociologyLawArt historyPoliticsArt

Abstract

fetched live from OpenAlex

Globalizing Democracy and Human Rights, Carol C. Gould, New York: Cambridge University Press, 2004, pp. 276. Carol C. Gould, professor of Philosophy and Government and director of the Center for Global Ethics at George Mason University, has undoubtedly gained recognition as one of the most prolific scholars in the burgeoning literature on democracy and human rights in the contemporary contexts of globalization. This latest book is a worthy successor to her earlier book, the highly acclaimed Rethinking Democracy (New York: Cambridge University Press, 1988), in which the author articulated a distinctive and innovative approach that placed the conception of human rights at the core of democratic theory. With this book, Gould takes the next giant step in an evolving debate by presenting colleagues and students with another instance of a well-integrated and intellectually sophisticated analysis. She deserves to be congratulated for the vein of thought she has been examining.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.011
Scholarly communication0.0060.008
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.044
GPT teacher head0.356
Teacher spread0.312 · 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 designTheoretical or conceptual
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

Citations3
Published2005
Admission routes1
Has abstractyes

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