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Current Approaches to Federal E-Government

2008· book-chapter· en· W2485512915 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueElectronic Government · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Variety (cybernetics)Scope (computer science)PoliticsPublic administrationPolitical scienceBusinessChinaEconomic growthPublic relationsEconomicsLaw

Abstract

fetched live from OpenAlex

The U.S. government is making strides to provide electronic access to government agencies and services. A variety of issues are involved when implementing e-government programs such as electronic tax filing, access to drug information, and so forth. Financial, technical, personnel, and legal issues are common. Privacy issues in the creation of e-government are also of interest to both the e-government implementer and citizen. There are a variety of issues in planning and implementing projects of the scope and magnitude of e-government. Issues such as user requirements, organizational change, government regulations, and politics, as well as descriptions of planning and implementation frameworks, are important. Experience in developed countries shows that it is not difficult for people to imagine a situation where all interaction can be done 24 hours each day, 7 days each week. Many countries, including the United States, France, Australia, Greece, Canada, Singapore, and Italy have been offering government services online (West, 2004). According to Sharma and Gupta (2003), Canada, Singapore, and the United States are categorized as “innovative leaders” (p. 34) whose continued leadership in the creation of e-government and more mature online services sets them apart from other countries. Canada leads the way in e-government innovation while Singapore, the United States, Australia, Denmark, the United Kingdom, Finland, Germany, and Ireland are countries in the top-10 list. Several Asian countries such as China, Hong Kong, India, Japan, Philippines, Indonesia, Thailand, Bangladesh, and Burma have initiated the concept of e-government as well (Dodgson, 2001). An article in Federal Computer Week (Perera, 2004) reported findings of a recent poll indicating that 77% of Internet users (or some 97 million people) in the United States have gone online for government information. E-government is rapidly becoming a key priority of the government of the United States.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.896
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.065
GPT teacher head0.253
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it