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Record W4401633023 · doi:10.22215/etd/2024-16033

Rendering Reality: Issues and Opportunities in Contemporary Image-Making

2024· dissertation· en· W4401633023 on OpenAlexaff
Stuart William Thomson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsRendering (computer graphics)Architecture3D renderingReal-time renderingComputer scienceImage-based modeling and renderingSoftware renderingComputer graphics (images)Tiled renderingAestheticsVisual artsArtGraphics3D computer graphics

Abstract

fetched live from OpenAlex

The rendering as a form of representation is used to represent unbuilt architecture. It depicts material and environmental aspects of the project which are only abstractly represented through architectural drawings. To fulfill these functions, rendering uses a variety of techniques and processes to create images which resemble reality. This thesis investigates the rendering and its relationship to the reality which it represents, and how they inform one another. It examines the processes and conventions and how they shape these realities. This thesis argues that understanding the processes of rendering and critiquing the realities they create offers a more critical approach to architectural representation. Through the creation of new realities, rendering defines how the city is imagined, and architects are responsible for shaping these imaginings.

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 score0.956
Threshold uncertainty score0.762

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 head0.073
GPT teacher head0.310
Teacher spread0.237 · 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
Published2024
Admission routes1
Has abstractyes

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