Enhancing Public Confidence: The GAO's Peer Review Experience: Even Auditors Need to Be Audited
Notice bibliographique
Résumé
In 2004 we at the Government Accountability Office (GAO) arranged to have a multinational team of experienced performance auditors conduct the first-ever peer review of our performance audits of federal government programs (www.gao. gov/peerreviewrpt2005.pdf). We also hired KPMG LLP to conduct a peer review of our financial audit practice their fourth such engagement with us. Both audit teams concluded that during the period reviewed the GAO's quality assurance system was suitably designed and operating effectively to provide reasonable assurance of conforming to applicable professional standards. The international peer review team also said that other national audit offices may want to emulate several of our practices and made suggestions that further enhanced our practice and provided other significant benefits. According to the reviewers, [the] quality assurance system reinforces the GAO's independence, objectivity and reliability. These reviews inform Congress of and give the American people confidence in the quality of our financial and performance audits. UNDER THE MICROSCOPE A team of 16 experienced performance auditors from seven countries reviewed our performance audit practice. The Office of the Auditor General of Canada led the multinational team. Other participants included national audit offices in Australia, Mexico, the Netherlands, Norway, South Africa and Sweden. The KPMG team consisted of experienced financial audit partners and managers with extensive government financial auditing experience. The review teams focused on the elements of our quality assurance system dealing with engagement performance and compliance monitoring. They reviewed our audit policies and process controls, examined a representative sample of our 2004 audit engagement files and reports on government programs, and interviewed senior managers and staff responsible for selected engagements. They also evaluated our internal inspection program, including a representative sample of engagement files that our internal inspectors had examined in 2004 to determine whether their findings were supportable. The performance audit team followed government auditing standards (the Yellow Book) and conducted the review in a manner consistent with the code of ethics and standards issued by the International Organization of Supreme Audit Institutions. The review team's ultimate objective was to determine whether the GAO's system of quality controls provided reasonable assurance that our work is independent, objective and reliable. The financial audit team followed the applicable AICPA peer review standards as well as government auditing standards. GOOD MARKS A key organizational and operational benefit of the peer review was the reviewers' confirmation that some of our key overarching quality control procedures are global better practices (see How to Do It Better,). According to their report, those practices help ensure that we focus our efforts on factors that affect government performance, that we assign engagement resources according to risk, that we develop complete and reliable evidence, that our engagement teams have the guidance and diagnostic tools necessary to perform their work and that our reports are clear, persuasive and fair. The reviewers also said that the GAO could improve its performance audit practice by, for example, enhancing the transparency and efficiency of its quality assurance system and policies. We have implemented some of these recommendations, and we are testing others (see Dividends Earned,). A PLAN FOR EXCELLENCE The GAO's approach to quality assurance was based on applicable professional standards and the agency's core values of accountability, reliability and integrity and it ends with public dissemination of virtually all its products. We had already created a quality assurance framework (see the exhibit) to summarize the policies and procedures we use to ensure compliance with professional standards and our core values. …
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,009 |
| Science ouverte | 0,004 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».