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Record W4254638586 · doi:10.22215/etd/2018-13378

Mountainside Housing: A Modular Counterpoint to Erickson's Mountaintop Campus

2018· dissertation· en· W4254638586 on OpenAlexaboutno aff
Meaghan Wilson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsCounterpointArchitectureModular designEngineeringArchitectural engineeringArchaeologyArt historyHistoryVisual artsGeographyCartographyArtSociologyComputer science

Abstract

fetched live from OpenAlex

This thesis proposes a mountainside housing ensemble as counterpoint to the Erickson-designed monumental Simon Fraser University campus atop Burnaby Mountain. Simon Fraser's resolutely horizontal Brutalist architecture comprises a constructed landscape and an architecture of finality. Might the flanks of Burnaby Mountain welcome an architecture of un-finality, adjustability, and change, as balancing counterpoint to the formal campus? Availing itself of an armature and modular building system, Mountainside Housing imagines a student village that will evolve over time. Premised on the idea of a Gondola station to connect Burnaby Mountain with the Vancouver Lower Mainland, the settlement will provide flexible and affordable student housing. Inspired by the treehouse dwellings students have built in the woods on Burnaby Mountain and by Erickson and Jeffrey Lindsay's tensegrity structure at Convocation Mall, the architecture reconciles finality and ephemerality while constructing the space generated by the slope's falling ground plane, between ground and sky.

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.004

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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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
Published2018
Admission routes1
Has abstractyes

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