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Record W74367042

Proceedings of the 2008 international conference on Digital government research

2008· article· en· W74367042 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

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Political sciencePublic relationsTheme (computing)NinthPublic administrationLibrary scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

Welcome to dg.o 2008 --- The Ninth Annual International Conference on Digital Government Research! Since you are here, you already know that dg.o meetings offer a unique environment in which computer and social science researchers, government officials and industry representatives come together to share new research in the realm of digital government. We provide a diverse gathering of minds with a common interest in furthering the development of democratic digital government. The conference had its genesis in 1999 as an assembly of researchers receiving support from the U.S. National Science Foundation. Since that time the conference has expanded its attendance beyond NSF funded researchers, has grown in size, and has truly become international in scope. This year is the first time the conference has been held outside the U.S. Montreal's international character is perhaps the perfect site for such an international forum, with presenters traveling from twelve countries and representing dozens of academic institutions, government agencies, and nongovernmental organizations. This year the conference theme Partnerships for Public Innovation focuses on information-intensive innovations in the public sector that involve linkages among government, universities, NGOs, and businesses. This theme emphasizes the importance of sharing practical issues, policy perspectives, research insights, and expert advice, in order to reach higher levels of performance in diverse public enterprises. Our Keynote speakers include: Andy Stein, from the city of Newport News, Virginia, who will be discussing collaborative software ecosystems; Edwin Lau, from the OECD, who leads the OECD E-Government Project; and Dan Chenok, formally of the U.S. Office of Management and Budget, who will be discussing citizen engagement. Even here you can see the range of participation --- from local, through national, to international. In the sessions you will see many disciplines represented, from computer science to the social sciences. You will see theoretical work and applied work. For the first time we have identified case studies, which describe specific field work, as we work to demonstrate the impact of digital government in practice. We will leave it to you to peruse the program and select the sessions that align with your interests.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.133
GPT teacher head0.363
Teacher spread0.230 · 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

Quick stats

Citations75
Published2008
Admission routes1
Has abstractyes

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