National information and communication infrastriucture (NICI): best practices and lesson learnt
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
Africa’s economic performance since the mid-1990s has raised hopes of a possible turnaround, compared to the stagnation of the previous two decades. The impact of new ICTs has permeated virtually all sectors of society. This publication analyses the work undertaken by the United Nations Economic Commission for Africa (UNECA) around national ICT strategies. It also highlights the challenges and best practices and proposes recommendations for future activities given the growing scope, scale and importance of knowledge in the global economy. ECA’s early efforts to promote ICT for Development (ICT4D) culminated in the launch and adoption of the African Information Society Initiative (AISI) at the Conference of African Ministers in charge of planning and social and economic development in 1996. In the new repositioned ECA, ICT activities have been scaled-up in member States. There is a critical mass of countries with national policies in place and ECA is assisting countries with implementation.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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