Purchase Cards: Continued Control Weaknesses Leave Two Navy Units Vulnerable to Fraud and Abuse
Bibliographic record
Abstract
Testimony issued by the General Accounting Office with an abstract that begins "This testimony discusses GAO's follow-up on the audit of key internal controls over purchase card activity at two Navy units based in San Diego--the Space and Naval Warfare Systems Command (SPAWAR) Systems Center and the Navy Public Works Center (NPWC). A breakdown in internal controls over $68 million purchase card transactions in fiscal year 2000 left these two units vulnerable to fraudulent, improper, and abusive purchases and to theft and misuse of government property. Although both units improved the overall control environment, including reducing the number of cardholders, increasing the number of approving officials, and decreased purchase card usage, serious weaknesses persisted in three key control environment areas. First, SPAWAR Systems Center needs to ensure that all cardholders receive required training and that this training is documented. Second, SPAWAR Systems Center needs to more carefully implement internal review and oversight activities, which have been ineffective. Third, GAO identified a significant impairment of management "tone at the top" at SPAWAR Systems Center during the last quarter of fiscal year 2001. The two basic internal controls over the purchase card program that GAO tested remained ineffective during the last quarter of fiscal year 2001 at both units. These weaknesses contributed to additional fraudulent, improper, abusive, or otherwise questionable purchases. GAO also identified purchases by SPAWAR Systems Center cardholders that were either excessively expensive or for questionable government needs."
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".