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Record W2245016958 · doi:10.30541/v49i3pp.261-263

Francisco Gutierrez and Gerd Schonwalder (eds.) Economic Liberalisation and Political Violence—Utopia or Dystopia? 2010. International Development Research Centre Canada (IDRC). Canada: Pluto Press. 355 pages. US$35.00.

2010· article· en· W2245016958 on OpenAlexaboutno aff
Laila Sohail

Bibliographic record

VenueThe Pakistan Development Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationDystopiaPoliticsDemocracyProsperityPraisePolitical sciencePhenomenonPolitical economyDevelopment economicsCurseSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

No debate is as engaging in the twenty-first century, as the one surrounding the phenomenon of globalisation. Economists, political scientists public policy experts, and specialists from a range of diverse disciplines are attracted to analyse this phenomenon and apply it to the world around them. The analysts are generally divided in two camps—those who praise globalisation as an evolutionary process leading to peace and prosperity, and those for whom globalisation is a curse instigating violence and conflict by undermining the role of the State and adversely affecting democracy.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0390.026

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 head0.039
GPT teacher head0.334
Teacher spread0.295 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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