MétaCan
Menu
Back to cohort
Record W4255630558 · doi:10.32920/ryerson.14638026

Heat! Cooling spaces for high-rise places

2021· preprint· en· W4255630558 on OpenAlex
George Thomas Kapelos

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsToronto Metropolitan UniversityToronto Public Health
Fundersnot available
KeywordsExhibitionArchitectureEvent (particle physics)Work (physics)Visual artsSociologyEngineeringArtMechanical 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 2017 Collaborative Exercise, entitled Heat! Cooling spaces for high-rise places.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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