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Record W2570019294

Proceedings of the 16th European Conference on Knowledge Management

2015· other· en· W2570019294 on OpenAlexaboutno aff
Andrea Garlatti, Maurizio Massaro

Bibliographic record

VenueInstitutional Research Information System (University of Udine) · 2015
Typeother
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceKnowledge managementBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

These proceedings represent the work of researchers presenting at the 16th European Conference on Knowledge Management
\n(ECKM 2015). We are delighted to be hosting ECKM at the University of Udine, Italy on the 3-4 September 2015.
\nThe conference will be opened with a keynote from Dr Madelyn Blair from Pelerei Inc., USA on the topic “The Role of KM in
\nBuilding Resilience”. On the afternoon of the first day Dr Daniela Santarelli, from Lundbeck, Italy will deliver a second keynote
\nspeech. The second day will be opened by Dr John Dumay from Macquarie University, Sydney, Australia.
\nECKM is an established platform for academics concerned with current research and for those from the wider community
\ninvolved in Knowledge Management to present their findings and ideas to peers from the KM and associated fields. ECKM is
\nalso a valuable opportunity for face to face interaction with colleagues from similar areas of interests. The conference has a
\nwell-established history of helping attendees advance their understanding of how people, organisations, regions and even
\ncountries generate and exploit knowledge to achieve a competitive advantage, and drive their innovations forward. The
\nrange of issues and mix of approaches followed will ensure an interesting two days.
\n260 abstracts were initially received for this conference. However, the academic rigor of ECKM means that, after the double
\nblind peer review process there are 102 academic papers, 15 PhD research papers, 1 Masters research papers and 7 Work in
\nProgress papers published in these Conference Proceedings.
\nThese papers reflect the continuing interest and diversity in the field of Knowledge Management, and they represent truly
\nglobal research from many different countries, including Algeria, Austria, Bosnia and Herzegovina, Brazil, Canada, Chile, Colombia,
\nCuba, Cyprus, Czech Republic, Estonia, Finland, France, France, Germany, Hungary, India, Indonesia, Iran, Ireland,
\nItaly, Japan, Jordan, Kenya, Lithuania, Mexico, Nigeria, Norway, Pakistan, Poland, Portugal, Romania, Russia, Slovakia, Slovenia,
\nSouth Africa, Spain, Sri Lanka, Sultanate of Oman, Sweden, Switzerland, Thailand, The Netherlands, UK, United Arab
\nEmirates, USA and Venezuela.
\nWe hope that you have an enjoyable conference.
\nMaurizzio Massaro and Andrea Garlatti
\nThe University of Udine, Italy
\nSeptember 2015

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.137
GPT teacher head0.328
Teacher spread0.191 · 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
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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