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Record W3123157259

The Evolution of US State Government Home Pages from 1997 to 2002

2002· article· en· W3123157259 on OpenAlexaff
Terry Ryan, Richard Field, Lorne Olfman

Bibliographic record

VenueSSRN Electronic Journal · 2002
Typearticle
Languageen
FieldComputer Science
TopicWeb visibility and informetrics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHome pageVariation (astronomy)Taxonomy (biology)Government (linguistics)State (computer science)PerceptionWeb pageComputer scienceWorld Wide WebInformation retrievalPsychologyThe InternetLinguisticsBiologyAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

We examined the home pages of the 50 US states over the years 1997-2002 to discover the dimensions underlying people's perceptions of state government home pages, to observe how those dimensions have changed over the years, to identify different types of state home pages, and to see how these types have changed. We found that three primary dimensions explain the variation in perceptions of home pages. These are the layout of the page, its navigation support, and its information density. Over the years, variation in navigation support declined and variation in information density increased. We discovered that four types of state government home page have existed continuously from 1997 to 2001. These are the ‘Long List of Text Links’, the ‘Simple Rectangle’, the ‘Short L’, and the ‘High Density/Long L’. To this taxonomy, two other page types can be added: the ‘Portal’ page and the ‘Boxes’ page. The taxonomy we have identified allows for a better understanding of the design of US state home pages, and may generalize to other categories of home pages.

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.

How this classification was reachedexpand

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 categoriesnone
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 score0.760
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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