Learning to Listen to Place: Beyond Restoration at the Former Royal Alberta Museum
Bibliographic record
Abstract
In light of the climate crises of the 21st century, the need for the conservation, restoration and adaptive reuse of existing buildings is crucial to meeting Canadian and global ecological sustainability goals. Focusing on the adaptive reuse of the building and site of the former Royal Alberta Museum in Edmonton, Alberta, this project promotes a holistic approach to sustainability that equally recognizes societal, ecological and economic considerations. This thesis argues that a material and conceptual methodology of critical questioning, disassembly, evaluation, and reassembly can create a culture of renewal and repair in which architecture consistently adapts to our future needs. By listening to Indigenous ways of knowing and by framing time through the seven generations model, the thesis places itself in opposition to current, fast-paced building methodology. It suggests a future that moves towards conciliation through a multi-generational process to create new, heartfelt and lasting connections to people and place.
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 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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.036 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".