Bibliographic record
Abstract
Abstract This paper will describe the fundamentals of MasterFormat™ 2004 and how its use can simplify the specification writing process. MasterFormat™ 2004 is jointly produced by the Construction Specifications Institute (CSI), and Construction Specifications Canada (CSC). Contractors, Owners and Specifiers can all benefit from the use of these guiding principals of specification development, especially when surface preparation, hazardous remediation, and coatings and linings are part of a larger overall scope of work. The coatings (sub) contractor can benefit by knowing how to find all pertinent data so that bids can be prepared properly. The owner can benefit by having a clearly organized specification. The specifier can benefit, as the logical format for organizing large specifications will result in less of a chance for conflicting information. MasterFormat is becoming the standard of care for the preparation of specifications. MasterFormat is part of the OmniClass Construction Classification System which is designed to provide a standardized basis for classifying construction data through the facilities life cycle and demolition. MasterFormat’s interaction to Uniformat™, SectionFormat™ and PageFormat™ will also be described. MasterFormat’s relationship to cost data applications, organizing drawings, construction market data and facilities management will be briefly discussed.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.070 | 0.036 |
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".