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Record W2764340029 · doi:10.7202/1050490ar

Quels services écosystémiques culturels sont produits par des citoyens et quelles valeurs y associent-ils ?

2018· article· fr· W2764340029 on OpenAlexvenueno aff
Frédéric Bally

Bibliographic record

VenueEnvironnement urbain · 2018
Typearticle
Languagefr
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

À l’heure où la crise n’est plus seulement économique, mais aussi sociale et environnementale, le bien-être et le bien-vivre en ville deviennent une question primordiale, tant pour les individus que pour l’action publique. Depuis quelques années, la solution semble passer par la nature et la biodiversité qui sont capables d’agir contre la pollution et les dépressions, par exemple. Les institutions locales, tout comme les citoyens, mettent ainsi en place un ensemble de services écosystémiques, principalement culturels, en réintroduisant notamment la nature, sous différentes formes, en ville. En nous appuyant sur une définition précise et établie de ces services écosystémiques, la réflexion qui suit vise à mettre en avant la diversité des services écosystémiques mis en place par les citoyens, tout en interrogeant leurs impacts sous toute leur diversité. En cours de chemin, nous analysons les représentations inhérentes à ces services ainsi que les points de divergences avec les institutions locales, pour voir si ces services relèvent d’une coproduction sur le territoire lyonnais.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.013
Scholarly communication0.0120.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.265
Teacher spread0.248 · 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 designQualitative
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

Citations4
Published2018
Admission routes1
Has abstractyes

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