Government to Citizen: Advocacy of Government On-line Systems and Their Acceptance among Citizens
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
Government on-line systems under the e-service project were launched in 2000. The ongoing objectives are to improve internal government office efficiency as service delivery to its citizens. Since its launch ten years ago, the use of this service by the citizens has beens relatively low, especially on the transaction side. Mostly, citizens use e-services merely to check their Road Transport Department (JPJ) and Royal Police Malaysia (PDRM) traffic summonses, to take their driving tests, to check their electrical and telephone bills and to check compound and tax issues with the Kuala Lumpur City Hall (DBKL). Citizens’ use of the e-service, mainly to do routine checking more than to conduct transactions, could subsequently influence further expansion of e-service. These issues lead to form the objectives of the study: firstly, to examine the factors that influence the use of government’s e-service, and secondly, to measure the strength of influence among the variables. The results reveal that the crucial factors that influence the intentions and behavior of citizens in accepting government’s e-services are “attitude” and perceived “behavioral control,” while subjective “norm” is not as evident.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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