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Record W7133436789

Plateformes numériques de participation citoyenne, une opportunité pour la gouvernance de la smart city ?

2019· article· fr· W7133436789 on OpenAlexaff
Noémie Lago, Marianne Durieux, Chantal Scoubeau, Jean-Alexandre Pouleur

Bibliographic record

VenueORBi UMONS · 2019
Typearticle
Languagefr
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsContext (archaeology)Work (physics)PlacemakingAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

Plateformes numériques de participation citoyenne, une opportunité pour la gouvernance de la smart city ?Cadre de la recherche : Le projet GOV du portefeuille de projet FEDER Wal-e CitiesWal-e-Cities vise à développer les villes intelligentes dans le contexte spécifique de la Wallonie.Le porte feuille de projet a pour objectif de créer des solutions IoT innovantes axées sur les citoyens dans les domaines de la mobilité, de l'efficacité énergétique, de la gouvernance et du bien-être.

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)0.002
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.063
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0630.006

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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