The role of attitude to mediate the effect of trust, perceived behavior control, subjective norm and per-ceived quality on intention to reuse the COVID-19 website
Why this work is in the frame
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Bibliographic record
Abstract
The objectives of this paper was to explain the effect of the variables trust, PBC, subjective norm, perceived quality, and re-usage intention on attitude and re-usage intention. This study's population consisted of Indonesians who visited the COVID-19 website to learn more about the progress of COVID-19. With the purposive sampling strategy, the sample size was as large as 238 participants. Path Analysis with the SEM-PLS approach was employed as the analytical technique. The findings revealed that trust, subjective norm, and perceived quality all had a positive and significant effect on attitudes when using the COVID-19 website, although PBC had a favorable but small effect. Furthermore, attitude influences intention to use in a positive and significant way.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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