BOOK REVIEW: PRELIMINARY REFLECTIONS ON ‘ENHANCING BUILDING PEFROMANCE’
Bibliographic record
Abstract
This 2012 book is a new addition in the field of Building Performance Evaluation (BPE). This contribution consists of 26 chapters in six parts, edited by Shauna Mallory-Hill, Wolfgang F. E. Preiser, and Chris Watson, three editors with various professional backgrounds and intensive experience in the field. Shauna Mallory-Hill is an assistant professor in the Faculty of Architecture at the University of Manitoba with a wide research and teaching experience in the field of building performance evaluation. Wolfgang Preiser is a professor emeritus in the School of Architecture and Interior Design at the University of Cincinnati. Preiser holds a strong record of books and publications in the field of building analysis and post operations evaluation. Christopher Watson presents the practical experiences and adds a great value to fill the crucial gap between academics, researchers and practitioners. Many contributors come from different part of the world and offering their experience in enhancing the performance of buildings and environments on their contexts. This review highlights key features of these contributions.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".