How Does Internet Usage Influence On Social Capital, Connectedness, Success And Well-Being Of Grassroots Level Inventors In Sri Lanka?
Bibliographic record
Abstract
Internet has been recognized as the world largest knowledge depositary. Therefore, there is overwhelming expectation over the Internet to be influenced the social and technological development of marginalized communities of less developed countries. However there were no published studies that investigate the nature of the innovation systems and the impact of internet on the inventors in developing countries. Therefore, the existing knowledge of how the internet usage of influence on social capital, connectedness, success and subjective well-being of inventive community in developing countries is vague. Present study explores the influence of the internet usage on social capital, community connectedness, inventive achievements and subjective well-being of the grassroots level inventive community of Sri Lanka. Findings suggest that internet has been significantly influenced on the social capital, connectedness and subjective well-being of grassroots level inventors in Sri Lanka. However, internet usage is not significantly influence on the objective inventive achievements of the inventors.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".