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Record W2979733577

Aτμόσφαιρες, αύριο. Ambiances, demain. Ambiances, tomorrow: Proceedings of 3rd International Congress on Ambiances.

2016· book· fr· W2979733577 on OpenAlexaboutno aff
Nicolas Rémy, Nicolas Tixier

Bibliographic record

VenueHyper Article en Ligne - Sciences de l'Homme et de la Société eBooks · 2016
Typebook
Languagefr
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureAtmosphere (unit)Perspective (graphical)Political scienceMedia studiesSociologyGeographyVisual artsArtMeteorologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The International Congress on Ambiances is organized every four years by the International Ambiances Network and it aims to bring together, at an international level, researchers, artists and professionals engaged in analysing the ambiance-related dimensions of the built environment and in the sensory construction of the contemporary world. After Grenoble (2008) and Montreal (2012), the 3nd Congress (2016), held in Greece, in collaboration with the Department of Architecture of the Polytechnic School of the University of Thessaly at Volos, is an opportunity to circumscribe the notion of ambiance (or atmosphere) in a dynamic prospective and demonstrates how it can become an operator in transforming our habitats, cities and societies. So, the future of ambiances can be analysed according to a three-fold perspective in terms of its pragmatic, theoretical and prospective dimensions.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0720.029

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 head0.018
GPT teacher head0.292
Teacher spread0.274 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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