From BIM to VR: defining a level of detail to guide virtual reality narratives
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.
Bibliographic record
Abstract
In 2012, the Carleton Immersive Media Studio (CIMS) started a research relationship with Public Services and Procurement Canada to develop a building information model (BIM) of the Parliament Hill National Historic Site of Canada. The model was created to facilitate a multi-year rehabilitation of the site and was developed using both historical records and highly detailed geo-referenced point cloud data. In the process of planning the model, CIMS developed a unique Level of Detail (LOD) specification for heritage buildings that, in addition to standard specifications, considered cultural heritage value as part of the LOD. As the rehabilitation project unfolded, the possibility of using the BIM for public engagement through the creation of virtual reality (VR) experiences was proposed. In this paper, we discuss the transferal of CIMS’ LOD from a BIM to a VR environment, arguing that the BIM LOD’s focus on cultural heritage value is consistent with virtual reality LOD in that it can be used to guide participants through a virtual reality narrative by inferring that areas of higher fidelity have greater value.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it