Bibliographic record
Abstract
Abstract The last few years have seen a massive swing in the architectural design industry toward green and sustainable concepts and practices. The industry is geared towards improving and evolving building products, processes, and design techniques in order to constantly improve the environmental aspects in the new and renovated structures being built today. Passa Associates Architect decided a number of years ago to pursue the sustainable route at a time when it was difficult to convince owners and contractors to break with the norm and institute sustainable principles in the buildings they were erecting. This article highlights some of the significant projects that they undertook and attempts to explain how the use of new technologies, constantly evolving sustainable design practices, and ground breaking “green” building materials with every new project can be reflected in the energy efficiency results that constantly improved with each new project. It is this desire to improve upon what's been done previously that is paving the way to a greener future. The calculations evolved through energy simulation software created a quantifiable system identifying how high performance energy efficient building can be achieved. This resulted in buildings with reduced green house gas emissions with the goal to grow into “living buildings” giving back energy when able. Two of the first energy efficient green projects by Passa Associates Architect (PAA) were elementary school projects for the Windsor-Essex Catholic District School Board (WECDSB). Our Lady of Mount Carmel Catholic Elementary School was completed in April 2004 and was determined to be 39.5% more efficient than the Canadian Model National Energy Code for Buildings (MNECB) while St. Christopher Catholic Elementary School was completed in August 2005 at 59.5% more efficient than the MNECB making it the most energy efficient elementary or high school in the Province of Ontario and fourth most efficient in Canada. These projects were followed by a Fitness Centre Addition to the University of Windsor in which the firm dealt with further complicated building encapsulation details utilizing techniques for daylight harvesting. The last project mentioned in detail is the renovation of an existing “brownfield” industrial hospital linen building for use as the Glengarda New Facility, a school for Glengarda Child & Family Services of Windsor, Ontario. This project has been determined to be 65.2% more efficient than the MNECB.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".