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Record W1595402553

Proceedings of IEEE professional communication society international professional communication conference and Proceedings of the 18th annual ACM international conference on Computer documentation: technology & teamwork

2000· article· en· W1595402553 on OpenAlexaffabout
Susan B. Jones, Beth Weise Moeller, Michael Priestley, Bernadette Long

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsTeamworkDocumentationGeneral partnershipPublic relationsProfessional communicationUsabilityPlan (archaeology)Engineering ethicsHost (biology)SociologyEngineeringPolitical scienceKnowledge managementEngineering managementLibrary scienceComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Two years ago, we met in Quebec City as we sat down to begin planning the first truly joint IPCC/SIGDOC conference. A lot has happened in those two years and we are excited to finally be able to welcome you to Cambridge! Our host city for IPCC/SIGDOC 2000 provides a particularly appropriate backdrop in which to consider the conference theme, Technology and Teamwork.Technology and Teamwork expresses the need for professional communicators to balance the technological and humanistic aspects inherent in document production and knowledge dissemination. It also expresses the partnership of the two host organizations and the conference venues. Across the street from this hotel sits our host institution, the Massachusetts Institute of Technology, one of the world's outstanding universities -- a leader in education and research.For four days, technical communicators, researchers, educators and usability professionals come together in these pages to discuss principles and practices of working in teams with new tools to make sure the products we support are the ones our customers can use.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.001
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 head0.022
GPT teacher head0.302
Teacher spread0.280 · 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 designTheoretical or conceptual
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

Citations15
Published2000
Admission routes2
Has abstractyes

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