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Record W4235670246 · doi:10.35483/acsa.intlp.2016.11

FXAT SCREEN

2016· article· en· W4235670246 on OpenAlexaboutno aff
Jason S. Johnson, Matthew Parker, Christina James, Joshua Taron, Logan Armstrong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureRealmExhibitionComputer scienceArchitectural engineeringVisual artsComputer graphics (images)ArtEngineeringGeography

Abstract

fetched live from OpenAlex

The FXAT Screen seeks to reclaim the presence of architecture and its imagery in the public realm. CNC milled opaque plywood panels produce a thickened surface revealing the material stratification within the planar surfaces. In direct contrast to the hyper smooth and streamlined aesthetic of contemporary media devices, the FXAT Screen wraps an artificial topography around an exaggerated cantilevered form that addresses both the pedestrian corridor of the urban core and the main venues for the RAIC ArchitectureFestival. A gradient of openings migrates across the form toward the street, concluding with a 14 x 7-foot rear projection screen showing the work of 15 emerging Canadian architecture firms in the RAIC’s Future Voice: Situating Architecture Exhibition.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.504

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)0.0000.000

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 head0.005
GPT teacher head0.168
Teacher spread0.163 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2016
Admission routes1
Has abstractyes

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