Investigating the Nature of Expectations and Its Influence on Attitudes Towards Malaysian Government E-Services
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the nature of expectations and its influence on attitudes towards government electronic services (e-services) in Malaysia. Based on a discussion of findings from in-depth focus group studies with government providers and users of e-services in Malaysia, a conceptual model is devised which explores both the extrinsic and intrinsic forces (in the form of e-government stimuli) influencing the articulation and actualization of stakeholder expectations, which can sway attitudes toward e-services. Key contributing factors (e.g., technological issues, managerial/institutional challenges, resource constraints, user needs), which have inhibited the extent of benefits realization when using e-services are explored. The model also introduces the concept of situational context—the importance of considering e-services in relation to its specific setting or circumstances at play.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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 it