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Record W2953715530 · doi:10.1117/12.2523807

When outreach in optics meets architecture: the optical terrace

2019· article· en· W2953715530 on OpenAlexaffabout
Guillaume Allain, Jean-Christophe Gauthier, Madison Rilling, Frédéric Jobin, Olivier Boily, Antoine Michel, Isabelle Jobin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicConferences and Exhibitions Management
Canadian institutionsUniversité LavalInstitut National d'Optique
Fundersnot available
KeywordsOutreachArchitectureTerrace (agriculture)Scale (ratio)Computer scienceEngineeringPhysicsPolitical scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

At the end of 2017, Universite Laval's SPIE Student Chapter set out to imagine a large-scale outreach initiative that would be artistic in its form, while being educational in its mission. With UNESCO's First International Day of Light (IDL) acting as a catalyst, The Optical Terrace (La Terrasse Optique, in French) came to life. The first edition of The Optical Terrace was a standalone platform made of three separate 8-ft wooden cubic structures where people could learn about light phenomena through interactive experiments. This project originated from dedicated volunteer work of a multidisciplinary group of students in physics and architecture. Project funding was made possible through financial support from professional societies (SPIE and OSA) and through partnerships with local optics and photonics companies. In this paper, we present The Optical Terrace as an original example of a large-scale outreach project, educational for both children and adults. It is a student initiative with a long-term high impact potential which, however, does not require continual in-person involvement. By installing the structure in popular and touristic locations within the city, this out-of-the-box initiative is a creative means for teaching the general public about the importance of optics and photonics. Based on the success and lessons learned from the first edition, a new and improved design was designed and built in time for IDL 2019.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.283
Teacher spread0.261 · 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 designTheoretical or conceptual
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 routes2
Has abstractyes

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