Letter from the chair
Bibliographic record
Abstract
Happy New Year! I hope 2008 brings you health, happiness, and good cheer! It was so good to see everyone who attended the "Seventh Annual ACM-SIGMIS Networking Reception," held as an ACM-SIGMIS event prior to the International Conference on Information Systems (ICIS2007) in Montreal, Quebec, Canada. Thanks to those of you who attended. Please plan to attend this event next year. Mark your calendar now for Saturday, December 13, 2008, from 5:30-7:00pm, prior to ICIS2008 to be held in Paris, France, December 14-17, 2008. Conference: ACM-SIGMIS Computer Personnel Research 2008 (CPR2008) Theme: "Meeting increased demand for the next wave of Information Technology workers" When & Where: April 3-5, 2008, Charlottesville, Virginia, USA Doctoral Consortium: April 3, 2008 Website: http://www.sigmis.org/Call_for_Papers_2008.pdf For more information regarding ACM-SIGMIS CPR2008, please contact the Conference Co-Chairs: Diane Lending, James Madison University, lendindc@jmu.edu Chelley Vician, Michigan Tech University, cvician@mtu.edu. For information regarding the Doctoral Consortium, please contact the Doctoral Consortium Co-Chairs: K. D. Joshi, Washington State University, joshi@wsu.edu Jo Ellen Moore, Southern Illinois University Edwardsville, joemoor@siue.edu The venue for next year's CPR2009 is Limerick, Ireland. Please consider sending a submission by the October 2008 deadline. For more information, contact Norah Power, University of Limerick, norah.power@ul.ie. Your participation is welcome and encouraged! Thanks for your support of SIGMIS. Should you have any questions, suggestions, or other input, please feel free to contact any one of us. We look forward to seeing you at ACM-SIGMIS CPR2008 in April!
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.268 | 0.195 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".