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Record W7110583113

The administrative division of the Greater Region SaarLorLux

2018· preprint· fr· W7110583113 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Repository and Bibliography (University of Luxembourg) · 2018
Typepreprint
Languagefr
FieldEconomics, Econometrics and Finance
TopicEuropean Socioeconomic and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdministrative divisionQuarter (Canadian coin)PilotageDivision (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Le découpage administratif de la Grande Région (2008 : 65 398 km², 11,4 mio. habitants) n’est pas homogène. Les différents secteurs de la Grande Région ont des statuts différents : Le Grand-duché de Luxembourg est un Etat souverain, la Wallonie est une région de la Belgique, la Lorraine était jusqu'au fin 2015 une des 26 régions de la France, est dès 1.10.2016 part de la nouvelle région Grand Est, la Rhénanie-Palatinat et la Sarre sont des Länder allemands. La taille et le nombre d’habitants des communes ainsi que leurs compétences diffèrent nettement les unes des autres, notamment du fait qu’aucune réforme communale n’a eu lieu en France, mais aussi en raison des différentes structures politiques et économiques.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0020.003
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 head0.058
GPT teacher head0.235
Teacher spread0.177 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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