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Record W4297021499 · doi:10.32920/ryerson.14637327.v2

An architecture of civility

2022· preprint· en· W4297021499 on OpenAlexaboutno aff
George Thomas Kapelos

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArchitecture, Art, Education
Canadian institutionsnot available
Fundersnot available
KeywordsCivilityArchitectureExhibitionEvent (particle physics)Work (physics)Landscape architectureSociologyEngineeringVisual artsPolitical scienceArtCivil engineering

Abstract

fetched live from OpenAlex

Each year, at the start of the winter semester, undergraduate and graduate students, faculty and staff, and invited guests come together to take part in the annual Collaborative Exercise (CEx) held at the Department of Architectural Science at Ryerson University. The five-day event challenges students to address an important contemporary issue. The intention of the exercise is to engage students to collaborate, think and design, while investigating a topic related to architecture and the built environment. Through this experience, students have the opportunity to work with students from other years in the Department’s program, to achieve a common design goal. The Collaborative Exercise ends with an exhibition at the Paul H. Cocker Gallery in the Ryerson University’s Architecture Building. This book showcases the outcomes of the 2013 Collaborative Exercise, entitled An Architecture of Civility.

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 score0.788
Threshold uncertainty score0.937

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)0.0640.000

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 head0.032
GPT teacher head0.274
Teacher spread0.242 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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