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L’approche par les services écosystémiques peut-elle permettre une meilleure mise en visibilité de la nature dans les processus de planification urbaine ?

2023· article· fr· W4390641114 on OpenAlexaff
Léa Tardieu, Perrine Hamel, Mehdi Mikou, Lana Coste, Harold Levrel

Bibliographic record

VenueDéveloppement durable et territoires · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMusée de la Civilisation
FundersAgroParisTech
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

La nature est un atout conséquent d’adaptation des villes au changement climatique et contribue à la qualité de vie des citadins. Ses contributions, positives comme négatives, peuvent être représentées par les services (se) et dis-services écosystémiques. Dans cet article, nous questionnons l’apport de la considération, de la cartographie et de la communication autour des se dans les processus d’aménagement urbain pour créer un langage commun auprès d’acteurs aux différents parcours et pratiques, et pour mieux appréhender la nature dans les décisions d’aménagement. La question est traitée de manière qualitative, par des entretiens d’acteurs de l’aménagement urbain. Les résultats témoignent de la plus-value que pourrait représenter la considération des se dans les processus d’aménagement, en tant qu’outil d’acculturation, de dialogue territorial et enfin d’évaluation en faveur de la conservation et du développement de la nature en ville.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.310
Teacher spread0.283 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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