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Record W1979059129 · doi:10.1162/leon.2010.43.3.243

Re-Animating Greg Lynn's Embryological House: A Case Study in Digital Design Preservation

2010· article· en· W1979059129 on OpenAlex
Lawrence Bird, Guillaume Labelle

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeonardo · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsManitoba Beekeepers' Association
Fundersnot available
KeywordsArchitectureContext (archaeology)DocumentationArtifact (error)Visual artsComputer scienceSubject (documents)Art historyArtLibrary scienceHistoryArchaeologyArtificial intelligence

Abstract

fetched live from OpenAlex

Greg Lynn's Embryological House was an early work of digital architecture: a work in which the computer was a fundamental part of the design process. It was the subject of a case study in digital preservation by the Daniel Langlois Foundation's project for the Documentation and Conservation of Media Arts Heritage (DOCAM) and the Canadian Centre for Architecture (CCA). Research identified characteristics of digital architectural artifacts that are key to their long-term preservation. The results imply a shift in the focus of preservation from the artifact to its transformation in a digital context and a re-evaluation of preservation strategies and principles.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.061
GPT teacher head0.263
Teacher spread0.202 · 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