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Record W2047557835 · doi:10.1002/meet.1450420109

Navigational characteristics of e‐document readers

2005· article· en· W2047557835 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

VenueProceedings of the American Society for Information Science and Technology · 2005
Typearticle
Languageen
FieldComputer Science
TopicUsability and User Interface Design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceReading (process)Taxonomy (biology)Set (abstract data type)World Wide WebProcess (computing)Human–computer interactionInformation retrievalMultimediaLinguistics

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to examine the navigational patterns of graduate students' text markings when they interact with electronic documents during an active reading process, thus taking on the role of authors. The readings took place in two settings, private and document sharing, where in the latter environment each document was shared among a group of students. The resulting interaction was monitored and electronically logged for each of these environments, which then provided us with user‐navigational patterns taxonomy. Descriptive and statistical tests were carried out on the activities observed within this taxonomy to develop a framework for comparing the reading patterns for readers working in individual and document sharing environments. This framework was then used to obtain user feedback during the interview sessions that were held with the participants of this study. Because of our investigation, we were able to create a set of specific recommendation that system designers can use in order to create better, more intuitive, and userfriendly electronic reading and marking systems.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.710

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 studies0.0000.002
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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