<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
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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