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Record W4239914757 · doi:10.1017/s0090599200032116

NPS volume 41 issue 6 Cover and Back matter

2013· paratext· en· W4239914757 on OpenAlexfundno aff

Bibliographic record

VenueNationalities Papers · 2013
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersUniversity of CambridgeUniversity College LondonReed CollegeQueen's UniversityGeorgetown UniversityGeorge Washington UniversityUniversità di BolognaElon UniversityPrinceton UniversityCouncil for Research in the Social Sciences, Columbia UniversityBrown University
KeywordsCover (algebra)Volume (thermodynamics)Action (physics)Content (measure theory)Computer scienceEngineeringMathematicsPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

Due to the dramatic chan~es in ~Iobal affairs related to regional inte~ration, studies can no lon~er be limited to the analysis of economic competitiveness and political power in ~Iobal ~eopolitics.Regions and Cohesion is a needed platform for academics and practitioners alike to disseminate both empirical research and normative analysis of topics related to human and environmental security, social cohesion, and ~ovemance.It covers themes, such as the management of strate~ic resources, environment and society, social risk and mar~inalization, disasters and policy responses, violence, war and urban security, the quality of democracy, development, public health, lmmlgraflon human ri~hts, organized crime, and cross-border human security.Interdisciplinary in nature and multl-lingual in character (En~lish, French, Spanish), the journal promotes the comparative examination of the human and environmental impacts of various aspects of reglonal inte~ration across ~eo~raphic areas, time periods, and policy arenas.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.135
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.8650.825

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 head0.025
GPT teacher head0.207
Teacher spread0.182 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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