Bibliographic record
Abstract
The exterior building envelope is designed with sustainable and durable materials with light-weight steel construction method that hopes to create a modern, and energy efficient building design. Exterior cladding uses natural wood siding that enhances the modern and natural exterior aesthetics of the building while maintaining low carbon-foot print by using locally sourced and rapidly reproducible wood material. The natural and light-toned materials continues to the interior space with bamboo flooring and timber wood-work that brings the natural exterior environment to the interior space. High thermal resistant insulation materials (expanded polystyrene, fiber board sheathing, and fiberglass) along with air-tight envelope design increases the building energy efficiency by reducing heating and cooling loss. Light-weight steel construction using steel beams, girders, columns and open web steel joists on top of a concrete foundation system creates a durable and reliable building structure that is easy to build with low construction costs. The simple, rectangular massing with straight edges further simplifies the construction process and creates a minimalist, modern design that is consistent with current architectural projects. The proposed architectural and structural design for the renovation of Brampton Fire-station 204 seeks to modernize the existing building while ensuring sustainability, reduced carbon footprint, and simplicity in construction.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.612 | 0.416 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".