Citizen-Initiated Contacts With Ontario Local E-Government
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 examines Ontario, Canada’s municipal e-government adoption. This paper specifically focuses on how e-government has increased citizen-initiated contacts with these local governments. This study uses survey data of these local governments to determine the key factors that predict increased citizen contact with e-government. What these municipal governments most commonly are doing is informational e-government, such as providing downloadable forms for manual completion. Transactional e-government is done less often, with very few local governments offering online payment of taxes, for example. The regression results indicated that offering more online services or e-services and having a separate information technology (IT) department developing the e-government budget increased citizen contact with e-government. The traditional factors that are used to explain citizen-initiated contact, such as socioeconomic status of the community, were not found to have any impact on increasing citizen contact with e-government.
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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 | 0.004 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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