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Record W1968097897 · doi:10.1504/ijsd.2005.007379

From "for" to governance for sustainable development in Europe: what is at stake for further research?

2005· article· en· W1968097897 on OpenAlexaff
Katharine N. Farrell, René Kemp, Friedrich Hinterberger, Christian Rammel, Rafael Ziegler

Bibliographic record

VenueInternational Journal of Sustainable Development · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsSustainable developmentCorporate governanceProcess (computing)Meaning (existential)Political scienceTask (project management)Section (typography)Process managementBusinessManagement scienceEconomicsManagementComputer scienceEpistemologyLaw

Abstract

fetched live from OpenAlex

Following conferences in Pignans, Maastricht, Vienna and Cologne and many e-mail exchanges, the participants of the GoSD-research initiative have identified a path for future research that describes not only governance and sustainable development but also how governance can be *for* sustainable development. This concluding paper gives an account of the pre-analytic vision, hypotheses and questions that have so far emerged from this process. Given the difficulty and importance of the task, a first section focuses on methodological questions. Consecutive sections elucidate *for sustainable development*, as well as "governance for". The emerging pre-analytic vision then receives some in-depth treatment and we consider how to measure the *for* of governance for sustainable development through objectives and indicators, taking into account the paradox of change with conservation. This sets the stage for a final section on research hypothesis and questions that give a meaning to governance for sustainable development, and that will allow this research project to develop in a way that makes insight and useful policy recommendations possible.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.314
Teacher spread0.277 · 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 teacher head, not a consensus.

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

Citations46
Published2005
Admission routes1
Has abstractyes

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