Addition to historic building: A hermeneutic interpretation
Bibliographic record
Abstract
Building conservation is an act designated to safeguard historic buildings from deterioration and eventual demolition. However, additions are essential to maintain the historic building’s function in many cases. Hence, the architect faces a thought process design that invariably accentuates significant values, while inevitably leaving others concealed or diminished. Developing a theoretical discussion concerning the historic building and its addition takes place within a synthesis between two disciplines: the architectural conservation discourse and building additions in practice, and the theory of Paul Ricoeur’s hermeneutics and his approach to text interpretation. The interweaving of these two disciplines into an interpretative-methodological tool enables us to deal with multiple aspects concerning building additions. Here we apply Ricoeur’s methodology to survey and analyze the Royal Ontario Museum (ROM) in Toronto, Canada, as a case study for a historic building with an exceptional addition designed by Daniel Libeskind. We employ Paul Ricoeur’s Hermeneutics approach to challenge the conservation discourse’s dilemma concerning significant buildings, their evaluation and the accordant design of the additions.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.071 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".