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Record W2165563383 · doi:10.1145/1104973.1104974

Are wikis usable?

2005· article· es· W2165563383 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

Venuenot available
Typearticle
Languagees
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsUsabilityComputer scienceHyperlinkUSableWorld Wide WebHypertextAsynchronous communicationPopularityWeb usabilitySession (web analytics)MultimediaUsability labHuman–computer interactionUsability engineeringWeb pagePsychology

Abstract

fetched live from OpenAlex

Wikis are simple to use, asynchronous, Web-based collaborative hypertext authoring systems which are quickly gaining in popularity. In spite of much anecdotal evidence to the effect that wikis are usable by non technical experts, this has never been studied formally. In this paper, we studied the usability of a wiki through observation and problem-solving interaction with several children who used the tool to collaboratively author hypertext stories over several sessions. The children received a minimal amount of instruction, but were able to ask for help during their work sessions. Despite minimal instruction, 5 out of 6 teams were able to complete their story. Our data indicate that the major usability problems were related to hyperlink management. We report on this and other usability issues, and provide suggestions for improving the usability of wikis. Our analysis and conclusions also apply to hypertext authoring with non wiki-based tools.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.691
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.003

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 head0.023
GPT teacher head0.358
Teacher spread0.335 · 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

Citations81
Published2005
Admission routes1
Has abstractyes

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