Department of Energy: Contractor Litigation Costs
Bibliographic record
Abstract
Correspondence issued by the General Accounting Office with an abstract that begins "Under the Federal Acquisition Regulation and the Department of Energy's (DOE) acquisition regulations, DOE can reimburse its contractors for reasonable legal costs associated with cases brought against them in such matters as equal opportunity employment, radiation and toxic exposure, personal injury, and wrongful discharge. Such costs are not reimbursable if there is liability related to the contractor's willful misconduct, lack of good faith, or failure to exercise prudent business judgment. In practice, DOE reimburses its contractors for most of the legal costs. From fiscal year 1995 through the third quarter of fiscal year 2001, there have been more than 2,100 cases and DOE has reimbursed its contractors more than $290 million for associated litigation and disposition costs. The contractors have spent $13 million in their defense. In the same time period, there have been nearly 400 equal employment opportunity cases for which DOE reimbursed its contractors $53 million. The contractors spent $2 million."
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.239 | 0.106 |
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".