Digital Bridges: Developing Countries in the Knowledge Economy
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
From a village in rural Ghana, Dr. John Afele has studied in Belgium, Japan and Canada. He has traveled further on development missions and for conferences, for instance as a Board member of Global Knowledge for Development. Serving as a North-South bridge person in worldwide knowledge networks through the Internet also qualifies him for the book’s theme. His focus is on innovative ways to bridge the global digital divide and to empower local economies with global knowledge. He pursues every possible way that the least fortunate could be assisted more effectively by development grants, intellectualizing indigenous knowledge, mobilizing Africans of the Diaspora and others concerned with development. The reader can see issues through indigenous eyes where actual conditions, needs and possible solutions can be more clearly assessed than through the intermediation of international development agencies. A social dimension of the book is evident in having extensive Acknowledgements near the beginning of the book, plus an emphasis on networks and partnerships as well as ideas and technologies.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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