Proceedings of the 38th SIGCSE technical symposium on Computer science education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Welcome to the Northern Kentucky area and the 38th SIGCSE Technical Symposium on Computer Science Education.We are pleased to present the proceedings of SIGCSE 2007. It includes papers, panels, special sessions, posters, workshops, and birds-of-a-feather sessions that reflect the broad array of interests of computer science educators. For the first time this year, our program of 35 workshops is entirely on site and, like the rest of our program, covers a diverse range of topics. As you enjoy the presentations and discussions, we also hope that you will take advantage of what the area has to offer. The symposium venue is just across the Ohio River from downtown Cincinnati and minutes from several riverfront area attractions, many of which are within walking distance.Two SIGCSE Awards for Outstanding Contributions to Computer Science Education will be presented at the symposium this year. Judith Gal-Ezer, Professor of Computer Science at the Open University of Israel, will receive one of the awards and will deliver the keynote address on Thursday, March 8th. The other award will be made posthumously to John Hughes, Professor of Information and Communication Technology at the University of Technology, Sydney, Australia. We are also pleased to honor John Impagliazzo, Professor of Computer Science at Hofstra University, with the SIGCSE Award for Lifetime Service.We have two additional distinguished invited speakers. Grady Booch, IBM Fellow, will make a presentation at our Friday plenary session. Jonathan Schaeffer, Professor and Chair of Computing Science at the University of Alberta, will address us at our Saturday luncheon.This year, we accepted 108 of 316 papers, an acceptance rate of 34%. Each paper received at least five reviews. We accepted seven panels, a 47% acceptance rate, and 16 special sessions, a 64% acceptance rate, with all panel and special session proposals receiving six reviews. We saw a significant increase in workshop submissions and accepted 35 of the 65 submitted. All workshops likewise received a minimum of six reviews. Faculty posters and birds-of-a-feather submissions received careful review as well.In addition to the technical sessions, the symposium features several vendors and vendor sessions. In the large exhibit hall, you can examine and experiment with the latest in instructional software, hardware, and publications. A number of events are co-located with the symposium including the Workshop for Department Chairs, the SIGCSE Doctoral Consortium, CRA-W Workshop, and the ACM SIGCSE Student Research Competition.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it