Bibliographic record
Abstract
The primary goal of this paper is to familiarize the reader with the building commissioning concept. Building commissioning gets its name from the process in which the Navy commissions ships and submarines by ensuring the vessel performs properly as intended before they are put out to sea. It is also similar to processes used in the Pacific Northwest and Canada as well as in the construction of factories and industrial facilities. Designing, specifying, and ensuring performance are the keys to realizing the benefits of building commissioning. Building commissioning is a relatively new process just coming into focus in the 1990's. The first National Conference on Building Commissioning was held in Sacramento in 1993. It developed out of a 1992 Commissioning Roundtable meeting, sponsored by the Bonneville Power Administration, among Pacific Northwest and California utility representatives, federal and state government personnel, and energy professionals. Participants at the Roundtable agreed that the industry needed to establish a regular, national forum for the discussion of building commissioning. The driving force behind the insurgence of building commissioning has been the lack of "quality" from decades of low-bid, lowest-cost, corner cuffing. This current philosophy of shortsighted practices continues to produce mediocre, minimum code buildings that really ended up costing more to build and even more to operate. "Total" or "Whole" building commissioning is a proven process to replace these unreliable construction practices of yesterday by basically insisting on quality assurance
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.026 |
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".