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Record W1784264800 · doi:10.7202/1044678ar

Challenges of Deliberation and Participation

2018· article· en· W1784264800 on OpenAlexvenueno aff
John Forester

Bibliographic record

VenueLes ateliers de l éthique · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDeliberationNegotiationDeliberative democracyPoliticsPublic relationsCorporate governanceContext (archaeology)Work (physics)Value (mathematics)SustainabilityPolitical scienceDemocracySociologyManagementEconomicsLawComputer science

Abstract

fetched live from OpenAlex

The future of sustainability is tied to the future of our ability to manage interconnectedness and interdependence, and thus to our abilities to engage in cooperative, value-creating public deliberations and negotiations. To understand these issues, we need a better understanding of the micro-politics of planning and public participation, the relationships between our received theories and our practices, and in particular, the work of public dispute resolution and its implications for democratic deliberation and governance. We need better to understand the differences between dialogue, debate, and negotiation, as well as the corresponding work of facilitating a dialogue, moderating a debate, and mediating an actual negotiation. Contrasting processes and practical attitudes of dialogue, debate, and negotiation can teach us, in the context of creating a sustainable future, that we must devise discursive and conversational political processes and institutions that explore possible commitments so that we not only know the right things to do but actually bring ourselves and one another to do those right things.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2018
Admission routes1
Has abstractyes

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