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Record W3177319669 · doi:10.1145/3442442.3453701

Summary of Tutorials at The Web Conference 2021

2021· article· en· W3177319669 on OpenAlexaff
Robert West, Smriti Bhagat, Paul Groth, Marinka Žitnik, Francisco M. Couto, Pasquale Lisena, Albert Meroño-Peñuela, Xiangyu Zhao, Wenqi Fan, Dawei Yin, Jiliang Tang, Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang, Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz, Jennifer Dy, Stratis Ioannidis, İlkay Yıldız, Rezvaneh Rezapour, Samin Aref, Jana Diesner, Alexey Drutsa, Dmitry Ustalov, Nikita Popov, Daria Baidakova, Shubhanshu Mishra, Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang, Florian Laurent, Yanick Schraner, Christian Scheller, Sharada P. Mohanty, Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He, Irene Teinemaa, Javier Albert, Dmitri Goldenberg, Flavian Vasile, David W. Rohde, Olivier Jeunen, Amine Benhalloum, Otmane Sakhi, Yu Rong, Wenbing Huang, Tingyang Xu, Yatao Bian, Hong Cheng, Fuchun Sun, Junzhou Huang, Shobeir Fakhraei, Christos Faloutsos, Onur Çelebi, Martin Müller, Manuel Schneider, Olesia Altunina, Wolfram Wingerath, Benjamin Wollmer, Felix Gessert, Stephan Succo, Norbert Ritter, Evann Courdier, Tudor Mihai Avram, Dragan Cvetinovic, Levan Tsinadze, Johny Jose, Rose Howell, Mario Koenig, Michaël Defferrard, Krishnaram Kenthapadi, Ben Packer, Mehrnoosh Sameki, Nashlie H. Sephus

Bibliographic record

VenueCompanion Proceedings of the Web Conference 2021 · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This report summarizes the 23 tutorials hosted at The Web Conference 2021: nine lecture-style tutorials and 14 hands-on tutorials.

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)0.006
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0060.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.089
GPT teacher head0.347
Teacher spread0.257 · 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
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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