Bibliographic record
Abstract
This thesis sets out to research, study and design a mobile, hybrid, performative architecture that can be adapted to different locations on LeBreton Flats, a site in central Ottawa adjacent to the Canadian War museum.research will be based on analyses of past theatre traditions, as well as the current urban design proposals for LeBreton Flats, while considering the heritage and historical context of the site, its landmarks and transportation networks.The proposed ephemeral architecture -a space box -will accommodate different modes of performance meant to engage with new and existing outdoor performance and gathering spaces, integrated within the redeined landscape.As a landmark with an industrial legacy LeBreton Flats was known in the mid-19th century for its timber industry and its railroad transportation network.In the summer seasons the proposed space-box will unfold to create theatrical opportunities framed by the cityscape in response to festivals such as the, Buskerfest, Jazz Festival and BluesFest.The Lebreton site is known to have many historical layers and memories recorded by historical, geological, political and social artifacts and documents.These have been researched and recoded in "An Acre of Time", a book by Phill Jenkins that inspired the conceptual narrative of the seven Acts in this thesis proposal.By creating theatrical ephemeral forms, engaging light, sound and landscape the seven Acts presented herein will act as animated architectural experiences emphasizing the site's historical narrative as a dialogue between performers and audience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.230 | 0.061 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".