Factors affecting ICT expansion in emerging economies: An analysis of ICT infrastructure expansion in five Latin American countries
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 High-quality information and communication technology (ICT) infrastructure is essential for developing countries to achieve rapid economic growth. International trade and the structure of the global economy require a level of integration that is achievable only with sophisticated infrastructure. Since the early 1990s, international institutions have been pushing developing nations to deregulate and heavily invest in ICT infrastructure as a strategy for accelerating socioeconomic development. After more than a decade of continued investments, some countries have still not achieved expected outcomes. Recently, the International Telecommunications Union (ITU) has called for empirical research to assess the performance and impact of ICT expansion in developing countries. In this article, we respond to this call by investigating factors affecting the efficiency of ICT expansion in five emerging economies in Latin America. Our findings demonstrate that deregulation is not enough to effect efficient ICT expansion, and we argue that existing conditions (economic factors, human capital, geography, and civil infrastructure factors) must also be considered. We conclude by asserting that policy makers can more easily realize socioeconomic development via ICTs if they consider these conditions while cultivating their technology strategies. © 2009 Wiley Periodicals, Inc.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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