ICT, Local Government Capacity Building, and Civic Engagement: An Evaluation of the Sample Initiative in Ghana
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 This paper evaluates a local Regional Network (LRNet) in one of Ghana's administrative regions; the purpose of the network is to enhance the capacity of the local government to perform its functions, promote transparency, and serve as a mechanism for civic engagement in the political process. I adopt Zhu's WSR approach as a conceptual model for this analysis, which examines, within a concrete setting, the nature, challenges, and outcomes that emanate from the intersection of the dual paradigm shifts in information technology and the reinvention of government. The case study concludes that there is a significant expectation-perception gap between the project's intent and its outcomes. The findings strongly support the view that computers by themselves cannot achieve organizational goals if the necessary enabling environment does not support them. It is clear from this study that ICTs do not function in a socio-cultural, political, and economic vacuum. Their efficacy is contingent on the various forces and realities that coalesce to shape the environment into which they are introduced. While the technologies may be designed in a way that allows them to perform certain functions, it is the decisions, orientations, and attitudes of human beings, as well as the resource capabilities of the organizations, which ultimately determine the success of IT undertakings. Therefore, organizations employing the ICTs must appreciate the limitations of an instrumental perspective that focuses only on the "digital messiah" as the panacea for organizational problems and the sole catalyst for government reinvention.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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