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Record W4393870447 · doi:10.32920/16896754.v1

Introduction to the Special Issue on Human-Computer Interaction in the Web 2.0 Era

2024· preprint· en· W4393870447 on OpenAlexaff
Ozgur Turetken, Lorne Olfman

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicRecommender Systems and Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceWorld Wide WebData scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

<p>Web 2.0, the “dynamic web,” is one of the most effective applications to date of information and communication technologies in the way it revolutionized how individuals interact with information. The term Web 2.0 is largely associated with Tim O’Reilley (Graham, 2005; O’Reilley, 2005), and is a loosely defined concept that represents a variety of technologies. Some of these are development platforms while others are applications used mostly for social computing and interaction. The latter group of technologies, also known as the Social Web (Rheingold, 2000) has arguably been in the core of the World Wide Web from its conception (Porter, 2008). Moreover, the developmental components of Web 2.0 that moved computing beyond desktops via the use of web-based “building blocks” such as web services not only made it possible to realize the true potential of the social web, but to a large extent made it synonymous with Web 2.0. Our use of the term Web 2.0 also treats it as identical to the social web.</p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.033
GPT teacher head0.320
Teacher spread0.287 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2024
Admission routes1
Has abstractyes

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