E-Government and Political Communication in the North American Context
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 article will introduce the concept of e-government, provide a model and background, and discuss emerging issues. Canadian examples will be drawn into the discussion as the country recognized as the leader in e-government (Accenture, 2004). E-government (electronic government) is a component of e-governance (electronic governance). The context of e-governance includes such components as e-government, e-democracy, e-representation, e-consultation, and e-participation. E-government refers to those aspects of government in which information and communications technologies are or can be utilized and in which basic functions are to increase efficiency in administrative processes, to guarantee easy access to information for all, to provide quality e-services, and to enhance democracy with the help of new technological mediation tools (Anttiroiko, 2005). It can be seen to describe all of the processes (administrative and democratic) that combine to constitute public sector operations, as broadly defined by Grönlund (2002). E-government is defined as “the use of ICTs [information and communication technologies], and particularly the Internet, as a tool to achieve better government” (OECD, 2003). E-government involves goals of enhanced operational efficiency and enhanced effectiveness. Effectiveness gains are attributed to “a better quality of services and increased and better quality citizen participation in democratic processes” (Grönlund, 2002). E-government relates to how the government delivers information, services, and programs. It relates to who provides services and how the services are delivered (Lenihan, 2002). At the core of e-government is the provision of information. E-government tasks include who and how, while e-democracy deliberates on what is to be delivered. Determining what services are to be delivered is a function of policy deliberation. The ability to research policy issues is an important element of a democracy. Stakeholders can share in the responsibility for developing the policy agenda, policy outcomes, and policy effectiveness. Public participation in this process will be discussed under the topics of e-democracy, e-representation, e-consultation, and e-participation.
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 | 0.001 | 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 | 0.001 |
| 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