Developing a Government Openness Index: The case of developing 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
This study aims to develop a comprehensive Government Openness Index (GOI) in developing countries, explore the relationship of the variables in the GOI, and examine the relationship of the GOI and income levels. Based on a linear scaling method, panel data from 101 countries was used to develop a GOI using four variables (e.g. accountability (ACC), information and communication technology (ICT), citizen participation and freedom (CPF), and transparency (TRA)). The results show that ICT performs highest in global means, coefficients of variation, and the contribution rate and contribution level to the change of GOI but CPT performs lowest in the contribution rate. The relationship between GOI and income is significantly positive. The results of this study suggest that developing countries should improve their capacity to utilize and sustain ICT and in particular human capacity for directing ICT toward improving citizen participation and freedom.
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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 | 0.002 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 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