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Record W2323648544

Vijf uitdagingen voor Marianne Thyssen

2014· article· nl· W2323648544 on OpenAlexaboutno aff
Ferdi De Ville, Nico Pattyn

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2014
Typearticle
Languagenl
FieldEconomics, Econometrics and Finance
TopicEuropean Socioeconomic and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtTheologyPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Marianne Thyssen staat als nieuwe Eurocommissaris, bevoegd voor o.a. werkgelegenheid en sociale zaken, voor vele uitdagingen. De scepsis rond het gewicht van haar bevoegdheidspakket wegnemen, zou daarvan de minste moeten zijn. De toestand waarin de Europese Unie zich bevindt maakt haar bevoegdheden vanzelf uiterst belangrijk. Ook al beschikt zij niet over de hefbomen om op haar eentje Europa een meer sociaal gelaat te geven, als belangrijke teamspeler kan zij de Commissie wel in die richting doen opschuiven. Vanuit Metis en Poliargus verwachten we dat ze deze taak op zich neemt en wij zullen dit de komende jaren ook opvolgen. We selecteerden dé vijf prioritaire uitdagingen waarop zij het verschil kan maken. Indien zij daarin slaagt, krijgt zij van ons binnen vijf jaar grootste onderscheiding.

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 categoriesMeta-epidemiology (narrow), Bibliometrics, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0190.013
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.004

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 head0.024
GPT teacher head0.185
Teacher spread0.161 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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