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Record W4242304435 · doi:10.32920/ryerson.14656068.v1

Storytelling architecture

2021· preprint· en· W4242304435 on OpenAlexaboutno aff
Adrian Bica

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsStorytellingArchitectureCommodificationHumanityNarrativeSociologyAestheticsArchitectural engineeringVisual artsEngineeringArtPolitical scienceLiterature

Abstract

fetched live from OpenAlex

This thesis critiques contemporary architecture tracing its faults to favoritism of scientific thinking, diminishing urban culture and commodification of architecture. The effects of these shortcomings have fostered a loss of captivation between humanity and architecture placing people at odds with their built surroundings. This thesis aims to reintegrate captivation within design drawing metaphorical inspiration from storytelling to create engaging architectural spaces. In so doing, architectural storytelling is established as a new design theory with the aim of integrating rich narratives within the foundation of the architectural design process rekindling the strained relationship between architecture and mankind. Storytelling architecture will be show cased through the design of a subway station at Queen St. and Ossington Ave. in Toronto

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.251
Teacher spread0.230 · 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.

Study designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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