THE INFORMATION SOCIETY, POVERTY ANDDEVELOPMENT: AN AFRICAN PERSPECTIVE
Bibliographic record
Abstract
Our age of the Information Society (IS), as represented by Information and Communications Technologies (ICTs), offers immense opportunities for sustainable economic development and the reduction of poverty. It does so by increasing access to market information and reducing transaction costs for poor farmers and traders; by increasing efficiency, competitiveness and market access of developing country firms; and by enhancing the ability of developing countries to participate in the global economy, thereby exploiting the comparative advantage in factor costs, in particular skilled labour. Yet, these goals are unattainable in the present state of digital divide, since access to ICTs is determined not only by infrastructure but also by people’s ability to afford and use them. Furthermore, the digital divide perpetuates underdevelopment, which is Africa’s current condition. Bridging that gap requires creating a knowledge society and forging new partnerships for development among members of the international community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".