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Record W2140199509

Effects of Navigation Tool Information on Hypertext Navigation Behavior: A Configural Analysis of Page-Transition Data

2002· article· en· W2140199509 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of educational multimedia and hypermedia · 2002
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHypertextTransition (genetics)Computer scienceInformation retrievalRecallMultidimensional scalingTask (project management)HypermediaWorld Wide WebPsychologyMachine learningEngineering
DOInot available

Abstract

fetched live from OpenAlex

The effects of navigation tools in hypertext have been studied predominantly through performance measures such as speed, accuracy, number of pages accessed and recall of document elements. In contrast, the current study uses multidimensional scaling to examine differences in path data, specifically page-transition frequencies, for four navigation tool groups. Each of these navigation tools contains different combinations of spatial and conceptual information. Users’ page-transition choices during an information search task in a hypertext document with hierarchically organized material were examined. The results indicate that users’ page-transition patterns are heavily influenced by the type of information contained in the navigation tool but transition patterns are not totally linear.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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