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Record W2002798423 · doi:10.4000/vertigo.14166

Construction durable : expertise et contre-expertise d’architectes

2013· article· fr· W2002798423 on OpenAlexvenueno aff
Julie Neuwels

Bibliographic record

VenueVertigO · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’institutionnalisation du développement durable dans le domaine de l’architecture induit diverses transformations dans le recours à l’expertise, à propos desquelles les architectes arborent des positions hétérogènes. Certains d’entre eux constituent des supports aux évolutions des politiques publiques, et tendent dès lors à être considérés comme des experts. D’autres, au contraire, doutent de, voire contestent, l’orientation normative qui s’en suit, par opposition ils peuvent être appréhendés comme de potentiels experts de l’expertise. Ces doutes sont considérés comme relevant d’un problème d’information, voire d’inertie au changement, par les pouvoirs publics qui ne cherchent dès lors pas à en tirer des enseignements. Visant à éclairer ces divergences d’opinions et de positions en matière de supports à l’action publique, la présente contribution aborde deux objets : l’implémentation de l’instrument de certification passive dans la politique énergétique bruxelloise, et les arguments d’architectes sceptiques, voire contestataires, ayant eux-mêmes réalisé un ou plusieurs bâtiments passifs. La confrontation de ces deux objets d’analyse met en évidence des divergences d’appréhension des notions de développement durable et d’architecture.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.021
GPT teacher head0.247
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2013
Admission routes1
Has abstractyes

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