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Record W3120234463 · doi:10.1108/ohi-03-2013-b0003

Mass-Customized Net Energy-Positive Housing For the Great Lakes Region

2013· article· en· W3120234463 on OpenAlex
Geoffrey Thün, Kathy Velikov, Mary O’Malley, Colin Ripley

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.

Bibliographic record

VenueOpen House International · 2013
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArchitectural engineeringSustainabilityCivil engineeringEnergy systemRange (aeronautics)EngineeringComputer scienceRenewable energyEcology

Abstract

fetched live from OpenAlex

This paper presents the Latitude Housing System, a speculative model for a means of imagining multi-scalar nested considerations for the development of a mass-customized net energy producing housing system geared to the specific conditions of the Great Lakes region in North America. In the most general sense, the project is motivated by an attempt to frame the discussion of such housing beyond its energy performance alone, and expand by implication, the ways in which we might discuss and debate approaches to the design and delivery of sustainable housing. Considerations that range from regional economic synergies and models of clean-tech collaborations to behaviour shaping building controls systems are presented and briefly outlined as they are applied to a constructed proof of concept prototype, North House, which is based on the Latitude system.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.322

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 head0.015
GPT teacher head0.233
Teacher spread0.217 · 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