A comparative analysis of the roles and functions of the Inspector-General of intelligence with specific reference to South Africa
Why this work is in the frame
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Bibliographic record
Abstract
The dissertation conducts a comparative analysis of the roles of the Inspectors-General of Intelligence with specific reference to South Africa. The analysis assessed the roles, functions and structures of the office of the Inspectors-General in the following countries: Canada, Australia, New Zealand, the United States of America, South Africa and equivalent institutions in the United Kingdom. The study was based on a review of existing literature and interviews and written responses with some of the members of the Joint Standing Committee on Intelligence, the former Minister for Intelligence Services, LN Sisulu, the head of the intelligence division of the South African National Defence Force, the former deputy Director-General of the South African Secret Service, judge Gordon who is responsible for interception of communications and the current Inspector-General of Intelligence, Mr ZT Ngcakani. The performance of the office of the Inspector General of Intelligence since 1995 indicates that: (a) there were ambiguities in the legal framework for the office of the Inspector-General which led to various interpretations by stakeholders on the functioning of the office; (b) there is still a need to test the impact of the office of the Inspector General on the Services and the public; and (c) the Inspector-General's office requires other oversight mechanisms to complement its functions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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