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Record W1993450748 · doi:10.1108/eum0000000006534

Users’ perceptions of the Web as revealed by transaction log analysis

2001· article· en· W1993450748 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

VenueOnline Information Review · 2001
Typearticle
Languageen
FieldComputer Science
TopicInformation Retrieval and Search Behavior
Canadian institutionsMcGill UniversityDalhousie University
Fundersnot available
KeywordsComputer scienceTransaction logPerceptionInformation retrievalWorld Wide WebSeekersSearch engineSample (material)Database transactionDatabasePsychology

Abstract

fetched live from OpenAlex

When information seekers use an information retrieval system their strategy is based, at least in part, on the perceptions they have formed about that environment. A random sample was gathered of more than 2,000 actual search queries submitted by users to one Web search engine, WebCrawler, in two separate capture sessions. The results suggest that a high proportion of users do not employ advanced search features, and those who do frequently misunderstand them. Furthermore, many users seem to have formed a model of the Web that imbues it with the intelligence found in a reference librarian, for example, but not a retrieval system. The linguistic structure of many queries resembles a typical human‐human communication model that is unlikely to produce satisfactory results in a human‐computer communication environment such as that offered currently by the Web. Design of more intuitive systems is dependent upon a more complete understanding of user behaviour at the intellectual and emotional as well as the technical levels.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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