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Record W2905879091 · doi:10.22215/etd/2018-12990

Welcome to Gypsonia: In Defense of a Contemporary Vernacular of Generic Materials

2018· dissertation· en· W2905879091 on OpenAlexaff
Simon Petepiece

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsCarleton University
FundersDivision of Undergraduate Education
KeywordsVernacularArchitectural engineeringCeiling (cloud)EngineeringHomogenization (climate)ArtLiteratureStructural engineering

Abstract

fetched live from OpenAlex

In the built environments of the West, the totalizing success of mass-produced building materials and assemblies has led to a homogenization of interior space. This condition is exemplified by the pervasive use of drywall and acoustic ceiling tiles that have, since their widespread implementation in the 1950s, become ubiquitously unavoidable materials. These materials and assemblies constitute a type of contemporary vernacular that has resulted in spaces that are variable and yet indistinguishable from one another.Implicated in the widespread use of standardized materials, assemblies and details raise questions of control, authorship and agency in architectural practice. Positioning these wall and ceiling assemblies in relation to their modernist origins and investigating their current implementation, this thesis aims to highlight the significance of drywall and drop ceilings using a series of installations that draw attention to the use and implications of this disregarded set of materials.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.025
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.242
Teacher spread0.219 · 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 designTheoretical or conceptual
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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