Integrating Building Information Modeling with Universal Design Requirements for Highly Accessible Homes
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
With North American population increasingly aging, it is to expect that new strategies to improve the built environment in order to accommodate the new needs of the population proliferate everywhere, such as installing receptors in the houses, decreasing maintenance or increasing adaptability. Universal design (UD) is the design that is oriented to meet the requirements of the largest number of users, people of all sizes and abilities, including seniors, people with physical or sensorial disabilities, children, and pregnant women. This paper presents a methodology that integrates Building Information Modeling (BIM) with database management system for designing universal buildings and homes. The methodology describes the development and implementation of a model that incorporates comprehensive databases storing architectural components and systems in an attempt to simplify the process of creating universal designs based on the National Building Codes of Canada (NBCC). Designing the model in a user-friendly environment allows owners and engineers to design and animate sustainable buildings that are universal in 3D mode easily and efficiently at the conceptual stage. A case example is presented to illustrate the usefulness and capabilities of the developed model.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.006 |
| 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