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Record W3154282876 · doi:10.16997/jdd.971

Expertise and Participatory Governance: The Incorporation of Expert Knowledge in Local Participatory Processes

2021· article· en· W3154282876 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Deliberative Democracy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCitizen journalismDemocratizationCorporate governanceLocal governanceParticipatory GISKnowledge managementPolitical scienceProcess (computing)DemocracySociologyBusinessComputer sciencePublic administrationLocal governmentLawPolitics

Abstract

fetched live from OpenAlex

The need for democratic control of the application of expert knowledge is a common refrain in debates on the democratization of policy making. However, there has been relatively little attention empirically to how expert knowledge is integrated into local participatory processes. This paper analyzes how the assessments of local officers and external consultants are incorporated in a diversity of local participatory processes in Spain between 2007 and 2011. Our interest is in whether expert assessments of the feasibility of participants’ proposals takes place; and if so, whether there is transparent oversight of the application of these judgements. The paper combines qualitative and quantitative approaches to show the importance of institutional design when dealing with the timing, style and impact of expert knowledge in participatory processes.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.121
GPT teacher head0.433
Teacher spread0.312 · 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