Bibliographic record
Abstract
This project was performed in a capstone design course.The objective of this paper is to demonstrate the design and describe the construction process of a 3-D scale model for downtown Chicago.The model will be used to simulate and test the effectiveness of fire defense strategies to address fire or other catastrophes related to public health and safety.The testing is how the students' project will be used by the Chicago Fire Department.This model includes streets, buildings and other detailed information that will help the Chicago Fire Department in planning interventions, considering various scenarios and case studies.The model has been built in phases, with the overall design incorporating a sophisticated, computer-driven illumination scheme built within the model base, thus allowing the model to be able to display animated scenarios of virtually any depth and focus, by means of time-varying color and brightness.CAD Computer-generated images and laser-cutting methods have been the primary methods of design and construction for the model, but hand craftsmanship is also necessary.The completed model is fully modular, designed to transport easily between various facilities.The usefulness of the model fulfilled many of the needs of the Chicago Fire Department and City of Chicago as an educational tool within the fire department and for community outreach.This project included: (1) Identification of the scale, materials, technologies, and strategies for construction; (2) Physical mapping and computer modeling of the downtown built environment; (3) Design of the physical model and computer/electronic components; and (4) Construction of a reduced-area mock-up for final review and approval by the City of Chicago.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".