Architect of the Capitol: Committed, Sustained Leadership Needed to Continue Progress
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "The Architect of the Capitol (AOC) is responsible for the operation, maintenance, renovation, and new construction of the Capitol Hill complex, including the U.S. Capitol, the Library of Congress, and the Senate and House Office Buildings. In 2003, at the request of Congress, GAO issued a management review of AOC that contained recommendations designed to help AOC become more strategic and accountable. Subsequently, Congress directed GAO to monitor AOC's progress in implementing recommendations. This is the fourth status report on AOC's progress and summarizes GAO's assessment of AOC's overall progress and remaining actions in becoming more strategic and accountable, including AOC's responses to specific recommendations GAO made in January 2003 and subsequently. To assess AOC's progress, GAO analyzed AOC documents; interviewed AOC officials; and relied on the results of related GAO reviews, including reviews of the Capitol Visitor Center (CVC). AOC generally agreed with GAO's assessment of its progress, but noted that 2 additional recommendations--1 on financial management practices and 1 on collecting worker safety data--should be considered implemented. GAO acknowledges AOC's efforts in these areas, but maintains that further steps are necessary to fully implement these recommendations."
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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 | 0.019 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.032 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.007 | 0.015 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".