NEW REALITIES FOR CANADA’S PARLIAMENT:A WORKFLOW FOR PREPARING HERITAGE BIM FOR GAME ENGINES AND VIRTUAL REALITY
Bibliographic record
Abstract
Abstract. With a growing interest in the use of virtual reality (VR) for dissemination of cultural heritage sites, the question of how to leverage existing documentation as content for virtual experiences becomes a potentially valuable opportunity. Notably, as sites are increasingly documented with building information modelling (BIM) for the purposes of conservation, there is potential to give these models a second life as content for public education and promotion. However, although software exist for viewing BIM in VR headsets, they are inadequate for complex models typical of heritage buildings, and lack functionality for integrating custom didactic content and storytelling. To make BIM performative in VR and allow for custom content, a workflow was developed to translate BIM into game engine scenes — which optimizes geometry following performance guidelines of VR while maintaining the high visual fidelity of the BIM. As a case study, six heritage spaces of the Centre Block of the Canadian Parliament which had been previously documented and modelled by CIMS were prepared for Unity3D, enabling their later use in a storytelling experience.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".