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Record W2913562230

Proceedings of the 2007 international symposium on Wikis

2007· article· en· W2913562230 on OpenAlexaff
Alain Désilets, Robert Biddle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsCarleton UniversityNational Research Council Canada
Fundersnot available
KeywordsPacePoliticsSocial mediaComputer scienceScholarly communicationCitizen journalismPublic relationsLibrary scienceWorld Wide WebSociologyEngineering ethicsMedia studiesPolitical sciencePublishingEngineering
DOInot available

Abstract

fetched live from OpenAlex

The 2007 International Symposium on Wikis brings together wiki researchers, practitioners, and users. The goal of the symposium is to explore and extend our growing community. The symposium has a rigorously reviewed research paper track, as well as plenty of space for workshops, posters, panels, demonstrations, and open discussions. We intend WikiSym 2007 to be an exiciting venue for anyone who is involved in using, researching, or developing wikis. We recognize the online world is always evolving, and we also welcomed contributions which are about other online media consistent with the wiki philosophy of being open, organic and participatory. Given the interdisciplinary nature of wikis, we have especially invited contributions from researchers and practitioners from a wide range of fields including: business, marketing, law communications and media studies computer science, human-computer interaction history, political science, geography information and library science linguistics, discourse analysis, language studies natural sciences, medicine . We were very happy at the positive support, and we did get submissions covering all aspects that we suggested. For the research paper track, we received 39 submissions. Of these, we accepted 9 as full papers, and 11 as short papers. All submissions were reviewed by at least three members of our international program committee, and acceptance was decided by consensus. We feel that the wiki idea is continuing to gain pace as it reaches many people who see the benefits and fascination of this simple but far-reaching approach to sharing knowledge in a community.

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 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 score0.912
Threshold uncertainty score0.664

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 communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.323
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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