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Record W4234778484 · doi:10.1145/1030397

Proceedings of the 2004 ACM symposium on Document engineering

2004· paratext· en· W4234778484 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldComputer Science
TopicWeb Data Mining and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGratitudePresentation (obstetrics)Computer scienceIBMLibrary scienceVariety (cybernetics)World Wide WebArtificial intelligencePsychology

Abstract

fetched live from OpenAlex

It is our great pleasure to welcome you to the 4th <i>ACM Symposium on Document Engineering - DocEng 2004</i>. This year's symposium continues its tradition of being a premier forum for presentation of research results and experience reports on leading edge issues of document engineering, including models, systems, applications, and theory. The mission of the symposium is to share research results and to identify new directions for future research and development. DocEng 2004 gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the many aspects of document engineering, ranging from image analysis up to structured content transformation and usability studies. The call for papers attracted 86 submissions (53 long papers and 33 short papers) from Asia, Canada, South America, Europe and the United States. The program committee accepted 22 full papers (10 pages) and 12 short papers (3 pages) that cover a great variety of topics, according to our "document-in-the-large" culture. In addition, the program includes a keynote speech by Kristoffer Rose from IBM J. Watson Research Lab, who will outline an ambitious and original vision of XML document processing and offer useful insights on forthcoming trends. We hope that these proceedings will serve as a valuable reference for document researchers and developers worldwide. Putting together <i>DocEng 2004</i> was a team effort. First of all, we would like to thank the authors and keynote speaker for providing the content of the program. We would like to express our gratitude to the program committee and external reviewers, who worked very hard in reviewing papers and providing suggestions for their improvements. We would also like to thank Andrian Marcus and Andrey Sergeyev for designing and maintaining of the <i>DocEng 2004</i> web site, with a special thank to Andrey who greatly helped realizing the front cover of these proceedings. Finally, we would like to thank our sponsor, ACM SIGWEB, and the Xerox Research Centre Europe for their concrete support of this meeting. We hope that you will find this program interesting and thought-provoking and that the symposium will provide you with a valuable opportunity to share ideas with other researchers and practitioners from institutions around the world.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.134
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.000
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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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

Quick stats

Citations8
Published2004
Admission routes1
Has abstractyes

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