<scp>E</scp>‐<scp>G</scp>overnment systems in<scp>S</scp>outh<scp>A</scp>frica:<scp>A</scp>n<i>infoculture</i>perspective
Bibliographic record
Abstract
Abstract The purpose of this study was to investigate challenges surrounding e‐Government systems in South Africa and their origins. Based on interviews with senior managers/senior state administrators as the key method and on qualitative data analysis, challenges were identified within the cultural environment of the senior managers, their positioning in relation to e‐Government systems, organizational processes, and in the policy domain. A specialized cultural analysis based on the informing culture framework was applied in order to deepen understanding of the challenges' origins. It revealed a hybrid of an immature bureaucracy and a mature clan informing culture as deep‐seated aspects of the socio‐organizational context surrounding South African e‐Government systems. The contributions of this research are in advancing theorizing on e‐Government and in helping the senior managers/senior state administrators to develop a better understanding of the cultural environment that they are expected to work in.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".