Measuring the impact of value‐for‐money audits: a model for surveying audited managers
Bibliographic record
Abstract
Abstract: The practice of value‐for‐money legislative audits was conceived to improve the management of public programs by making it more economical, more effective, and more efficient. To what extent have auditors general achieved this objective in the past twenty‐five years since the inception of the value‐for‐money audit (VFMA)? The literature on VFMA has been silent on its actual impact on public administrations. This article examines the impact VFMAS have had on the management of organizations in the government of Quebec based on a new survey model of inquiry. Of the variables measured were the value VFMAS bring to the organizations audited; the relevance of the recommendations formulated by the auditors; the deterrent of potential audits on public‐sector managers; the changes that occurred in the audited organization's management practices and in its relations with its stakeholders; the ways in which the auditors' report has been useful to the auditees; the concrete actions taken following VFMAS; and, finally, the organizational and personal consequences of the audits. Sommaire: La vérification législative de l'optimisation des ressources (VOR) est une pratique qui a été conçue pour améliorer la gestion des programmes publics en la rendant plus économique, plus efficace et plus efficiente. Dans quelle mesure les Vérificateurs généraux ont‐ils atteint cet objectif au cours des vingt‐cinq années qui ont suivi l'avènement de cette pratique? La recherche sur la VOR a passé sous silence l'impact réel de cette pratique sur les administrations publiques. Le présent article examine l'impact des VOR sur le managerisme des organismes du gouvernement du Québec d'après un nouveau modèle d'enquête. Les variables mesurées étaient les suivantes:la valeur que les VOR apportent aux organismes vérifiés; la pertinence des recommandations formulées par les vérificateurs; l'effet dissuasif de vérifications potentielles sur les gestionnaires du secteur public; les changements intervenus dans les pratiques de gestion de l'organisme vérifié et dans ses relations avec ses parties prenantes; la manière dont le rapport des vérificateurs a été utile aux entités vérifiécs; les mesures concrètes prises à la suite des VOK; et enfin, Ics conséquences organisationnelles et personnelles des vérifications.
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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 | 0.014 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".