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Record W4256444148 · doi:10.1145/1592401.1592403

From the chair

2009· article· en· W4256444148 on OpenAlexaboutno aff
Janice C. Sipior, Eileen M. Trauth, Christina N. Outlay, Conrad Shayo, Susan A. Vowels

Bibliographic record

VenueACM SIGMIS Database the DATABASE for Advances in Information Systems · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Change and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ManagementPublicityLibrary scienceSociologyPolitical scienceLawHistory

Abstract

fetched live from OpenAlex

Deb Armstrong, Florida State University, who served as the Chair of the 2009 SIGMIS Nominating Committee, has announced the results of the SIGMIS elections. Our 2009-2011 SIGMIS officers (as of July 1, 2009) are: Chair: Janice C. Sipior, Villanova University, janice.sipior@villanova.edu Vice-Chair: Eileen M. Trauth, Pennsylvania State University, etrauth@ist.psu.edu Secretary/Treasurer: Christina Nicole Outlay, DePaul University, coutlay@depaul.edu Deb would like to thank all who were willing to serve the SIGMIS community and who participated in the process. Please join me in extending a heartfelt thank you to the members of the SIGMIS CPR 2009 Conference Committee. We appreciate all their hard work in making this year's conference, held at the University of Limerick campus in Limerick, Ireland from May 28-30, 2009, a success: Conference Co-Chairs: Norah Power, University of Limerick Kate Kaiser, Marquette University Program Co-Chairs: Jack Downey, University of Limerick Damien Joseph, Nanyang Technological University, Singapore Doctoral Consortium Co-Chairs: Deb Armstrong, Florida State University Cindy Riemenschneider, University of Arkansas Conference Treasurer: Indira Guzman, Touro University International Conference Publicity: Sandra Newton, Sonoma State University I am pleased to announce the recipients of the sixth annual "Magid Igbaria Outstanding Conference Paper of the Year Award:" Klodwig Mgaya, Faith-Michael Uzoka, Ernest Kitindi, and Alice Shemi for their paper, "Examining Career Orientations of Information Systems Personnel in an Emerging Economy Context." Please join me in congratulating each of them for their excellent research! Their award-winning paper can be found in the SIGMIS CPR 2009 Conference Proceedings, available in the ACM Digital Library at: http://portal.acm.org/dl.cfm. The annual SIGMIS Business Meeting was held at the close of the conference. Norah Power, University of Limerick, and Kate Kaiser, Marquette University, CPR 2009 Conference Co-Chairs, presented a Preliminary Outcome Report for the conference. Plans for next year's CPR 2010 Conference are now underway: Where: Vancouver, British Columbia, Canada When: May 27-29, 2010 Submission deadline: October 15, 2009 Mark your calendar now! Please plan to submit a paper, join the program committee, participate in conference planning, attend the doctoral consortium, and, of course, attend the conference. All are welcome! Encourage your colleagues to participate! For more information, please contact the SIGMIS CPR 2010 Conference Committee: Conference Chair: Mike Gallivan, Georgia State University, mikegallivan@yahoo.com Program Chair: Damien Joseph, Nanyang Technological University, Singapore Local Arrangements Chair: Gaëtan Mourmant, Université Paris Dauphine, gmourmant@gmail.com Treasurer: Indira Guzman, Touro University International Doctoral Consortium Chair: Deb Armstrong, Florida State University Or, check our website for conference information at: http://www.acm.org/sigmis Finally, we are pleased to invite you to the Ninth Annual ACM-SIGMIS Reception: Where: International Conference on Information Systems (ICIS2009) Phoenix, Arizona USA (Location to be determined) When: Monday, December 14, 2009, 5:30 to 7:00 pm Who: All ACM-SIGMIS members and their invited guests are welcome!

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.559
Threshold uncertainty score0.629

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0150.008
Open science0.0020.006
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.5590.508

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 head0.037
GPT teacher head0.269
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2009
Admission routes1
Has abstractyes

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