A Conceptual Model and Typology for Information Systems Controls
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Controls are widely used in business and are often related to information technology (IT) because IT systems are used to implement business controls and because the introduction of IT entails additional control concerns. Thus, control aspects should be part of information systems analysis and design. Furthermore, information systems need to be examined for completeness and correctness of their controls. However, despite the importance of IT controls, no general, well formalized framework is available to guide the analysis of controls requirements, the design of controls in systems, and the audit of existing systems. This paper presents a conceptual framework of controls based on an ontological foundation and an extended typology of IT controls. The framework can be used to analyze IT control issues and manage IT control assets. An initial evaluation of the typology using a published control framework and an example indicates its potential usefulness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it