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Record W2160496768

European sustainable development policy (1972-2005) : fostering a two-dimensional integration for more effective institutions

2006· preprint· en· W2160496768 on OpenAlexaff
M Frederic, Marco Barzman

Bibliographic record

VenueProdinra (INRA Bordeaux-Aquitaine) · 2006
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsImpact
FundersEuropean Commission
KeywordsSustainable developmentBusinessPolitical scienceRegional scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

At the creation of the European Community in 1957, little attention was paid to environmental concerns. It's only in 1997, after decades of debate, that the ‘Integration Principle' became formally engraved in European treaties. This principle, requiring all policies to take environmental concerns into account, represents a major landmark in the institutionalisation of environmental policy. Yet the effects of this integration appear unclear. So does its meaning. Does the Integration Principle ensure an effective impact of sustainable development institutions in Europe? We aim to answer this question by casting light on the origin and significance of the Integration Principle. We recapitulate the policy events leading to the formal integration of environmental concerns within EU policy since the 1970s. We highlight its gradual extension from a horizontal (cross-sectoral) to a vertical (cross-societal) dimension and stress the challenges posed by the necessary cross-societal integration of sustainable development policy. As a step toward answering the above question, our hypothesis is that the effectiveness of an institution depends on its integration not only across policy or economic sectors but also across governance levels. We derive implications with regard to the importance of learning to eco-innovation.

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)0.011
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.006
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 designQualitative
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

Citations2
Published2006
Admission routes1
Has abstractyes

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