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Record W7124226612 · doi:10.24923/2222-243x.2025-57.19

Structure and dynamics of the Global Economy in the 21st century. IX. Structural elements in 2010-2024

2025· article· W7124226612 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKANT · 2025
Typearticle
Language
FieldSocial Sciences
TopicQuality of Life Measurement
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)PopulationNoveltyIdentification (biology)Distribution (mathematics)Dynamics (music)Structural changeQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

The purpose of this research is to provide a graphical and tabular representation of the distribution of countries across the structural elements of the Global Economy, based on World Bank statistical data on GDP and population from 2010 to 2024. The methodology relies on previously proposed techniques for identifying structural components using planes of paired scaled indices. The scientific novelty of this research lies in the identification and description of the structural configuration of the Global Economy during this specific time frame. As a result, the detailed description of the Global Economy's structure in 2010-2024, combined with the previously presented analysis of the same structure for 2000-2009, lays the foundation for studying the dynamics of the Global Economy over a period of a quarter of a century.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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