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Record W7009530379

El G7 en bruselas, una cumbre excepcional

2014· article· en· W7009530379 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicExtractivism and Socioeconomic Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodArticular cartilage damageTantalum carbideHyporeflexiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

The Group of 7 (G7) was created in 1973 consisting of the finance ministers and central bank governors of the then five most advanced economies: France, Germany, Japan, the United Kingdom and the United States. In 1975 Italy joined the Group and in 1977 Canada. With integration of Russia in 1988, the Group was called G7+Russia or G8. The European Union is also represented within the G7. The Group meets to discuss primarily economic issues and once a year the Group join in a summit. The IMF's Managing Director and representatives of other international organizations are present in the meetings. The presidency of the group rotates annually among member countries, with each new term beginning on 1 January of the year. The rotation order is: France, the United States, the United Kingdom, (Russia), Germany, Japan, Italy, and Canada. Recent G7 meetings include the 39th G8 summit took place on 17th and 18th June 2013. This year there was an emergency summit meeting in The Hague, Netherlands on March 24, 2014. On June 4th 2014 there was a summit meeting in Brussels, hosted by the European Union

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)0.001
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: Commentary · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1210.051

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 head0.008
GPT teacher head0.285
Teacher spread0.276 · 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
GenreCommentary

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
Published2014
Admission routes1
Has abstractyes

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