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Record W2334655121 · doi:10.1086/668116

Teaching with the <i>Canadian Architect</i> Fonds: A Collaboration between Ryerson University Librarians and Instructors in Architecture Using Special Collections

2012· article· en· W2334655121 on OpenAlex
George Thomas Kapelos, Susan Patrick

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

VenueArt Documentation Journal of the Art Libraries Society of North America · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBachelorArchitectureContext (archaeology)Extant taxonSpecial collectionsSubject (documents)Library sciencePhotographyComputer scienceVisual artsArtHistory

Abstract

fetched live from OpenAlex

Special collections have an important role to play in architectural education. This article describes the ways in which the Canadian Architect photography collection housed at the Ryerson University Library Special Collections was utilized to support teaching and learning in a required introductory architecture course for students enrolled in the Bachelor of Architectural Science program. In collaboration with the subject librarian and the special collections librarian, the course instructor prepared and issued an assignment which provided students with online digital images of extant buildings and required them to research a range of materials and critically comment on their findings. Student outcomes demonstrate how rare and valued architectural photographs can be integrated as a research and teaching tool into the larger context of architectural education.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.003
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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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