From the chair
Bibliographic record
Abstract
A warm invitation to attend... " The Seventh Annual ACM-SIGMIS Reception ," will be held as an ACM-SIGMIS event prior to the International Conference on Information Systems (ICIS2007) in Montréal, Québec, Canada, December 9 -- 12, 2007. Light refreshments will be served. Where: International Conference on Information Systems (ICIS2007) Montréal, Québec, Canada Fairmont Queen Elizabeth Hotel Room not yet assigned When: Saturday, December 9, 2007, 5:30 to 7:00 pm Who: All ACM-SIGMIS members and their invited guests are welcome . Please plan to attend the SIGMIS CPR'08 Conference to be held April 3--5, 2008 at the Omni Charlottesville Hotel in Charlottesville, Virginia, USA. The theme of this year's conference is "Refilling the Pipeline: Meeting the Renewed Demand for Information Technology Workers." Additionally, the 2008 conference will include a doctoral student consortium on April 3, 2007 that will host a competition for best doctoral consortium paper. More information can be found at: http://www.sigmis.org/Call_for_Papers_2008.pd. Please consider volunteering to serve on the Program Committee for the 2008 conference. Members of the Program Committee serve as reviewers and assist in identifying session chairs and discussants. If you would like to serve on the Program Committee, please contact Program Co-Chair Deb Armstrong at djarmstrong@fsu.edu. Let's make the SIGMIS CPR Conference a continuing success! Also, please continue to consider Data Base as an outlet for your research. The new online submission system is available at the Data Base website at: http://the-database.org.
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.660 | 0.590 |
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".