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Record W2902584426 · doi:10.1002/pra2.2018.14505501036

What's cached is prologue: Reviewing recent web archives research towards supporting scholarly use

2018· article· en· W2902584426 on OpenAlexaff
Emily Maemura

Bibliographic record

VenueProceedings of the Association for Information Science and Technology · 2018
Typearticle
Languageen
FieldComputer Science
TopicWeb Data Mining and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipWeb engineeringField (mathematics)World Wide WebSociotechnical systemComputer scienceData scienceWeb intelligenceWeb developmentThe InternetKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT Web archives are essential to support historical scholarship in the online age. Research on web archives spans many disciplines, often requiring domain‐specific expertise. The wide‐ranging nature of the literature makes it difficult to obtain a current overview of the field, but this view is needed to identify which core challenges define the field, and assess the different approaches taken to address them. This paper provides such a review of the current landscape of web archives research, focusing on addressing the common challenges faced to support scholarly use of archived web materials. The analysis describes three challenges and identifies key concepts and current approaches for each: (1) how to organize and select from web archives collections; (2) how to critically examine these sources; and (3) how to approach ethics and consent for using archived web materials. The discussion addresses open questions and tensions, highlighting the sociotechnical nature of these challenges and revealing opportunities to apply existing work from the body of knowledge of information studies. It concludes with several recommendations for future research directions to support scholarly use of web archives.

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)0.008
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.001
Scholarly communication0.0020.022
Open science0.0020.001
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 head0.062
GPT teacher head0.342
Teacher spread0.281 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations6
Published2018
Admission routes1
Has abstractyes

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