Effect of Proliferation and Resistance of Internet Economy
Bibliographic record
Abstract
Information and communication technology (ICT) is the prime driving force of Internet economy. Therefore, before implementing E-Commerce (EC) and E-Government (EG) projects, it is a vital issue to investigate the capability of developing countries to adopt ICT and reveal the impact of adopting ICT among society. However, it is observed that in developing countries, rural and urban population have significant digital divide. We argue that the purposes of implementing Internet-based projects, particularly EG, can only be accomplished and full benefits can be realized if rural population of developing countries has that ability to adopt ICT, the main driver of EG, and if ICT has positive impact on rural population in technological, economical, and social perspectives. Therefore, it is the prime motive of policy makers of developing countries to study the impact of ICT in capability development among citizens prior to launching EG. To study the impact of ICT on both rural and urban population separately through a vertical survey, this research proposes separate ad-hoc and post-hoc frameworks.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
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".