Identifying an analytical tool to assess the readiness of aid information and communication technology projects
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 It has been established that information and communication technologies (ICTs) empower the informal sector. However, according to a study, a number of barriers such as affordability, availability, and access lead to the informal sector being a low‐tech environment. Thus, aid agencies and African governments have made notable efforts to promote the spread and use of ICT in Africa in order to support sustainable development in African countries. These initiatives are managed on a project basis. Unfortunately, the success rate of development aid projects is relatively low. Several explanations have been given for these failures. We performed a conceptual analysis where we identify the important drivers that should be considered when assessing the likelihood of success of these projects, namely, project readiness, before such projects are implemented. The analytical framework that is proposed will contribute to the success of ICT projects.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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