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Record W72249337

Ex post evaluation of the management and implementation of cohesion policy 2000-06 (ERDF)

2008· article· en· W72249337 on OpenAlexaboutno aff
John Bachtler, Laura Polverari, Hildegard Oraže, Karine Clément, Frederike Gross, Irene McMaster, Herta Tödtling-Schönhofer, Isabel Naylon

Bibliographic record

VenueStrathprints: The University of Strathclyde institutional repository (University of Strathclyde) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMetisEuropean commissionCohesion (chemistry)Political scienceCommissionPublic administrationLibrary scienceOperations researchManagementLawEngineeringEuropean unionBusinessComputer scienceEconomicsDatabase
DOInot available

Abstract

fetched live from OpenAlex

This report has been drafted by the European Policies Research Centre (University of Strathclyde) as part of an ex post evaluation of the management and implementation systems for Cohesion policy, 2000-06, which has been commissioned by DG REGIO and which is being managed by EPRC and Metis (Vienna) under European Commission contract no: 2007.CE.16.0.AT.034. The report provides an overview of the main features of management and implementation systems across the EU25 in the 2000-06 period (2004-06 for the EU10) and has been drafted by Professor John Bachtler, Laura Polverari and Frederike Gross, with assistance from Dr Sara Davies and Ruth Downes. The research is based on studies of individual countries undertaken by EPRC together with national experts from each of the EU25 Member States. The authors are grateful for helpful comments from the DG REGIO Evaluation Unit and Geographical Units, in particular Anna Burylo, Veronica Gaffey and Kai Stryczynski. Any errors or omissions remain the responsibility of the authors.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
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 head0.029
GPT teacher head0.267
Teacher spread0.237 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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