Proceedings of the Seventeenth Western Canadian Conference on Computing Education
Bibliographic record
Abstract
Welcome to the 17th Western Canadian Conference on Computing Education (WCCCE 2012). Fourteen years ago, in May of 1998, the UBC Department of Computer Science hosted the third version of this nascent conference. At that time the dot com boom was in full gear as the world was discovering the Internet and the bust was still two years away. The networking revolution that was taking place at that time, and continues to this day, eventually brought us Google, Facebook, twitter and enabled the iPad/iPhone, Android based devices, and the cloud. Computer science enrolment was on the way up but that changed when the bubble burst. Many things changed in those intervening fourteen years, but what hasn't changed is the profound effect that computer science and information technology has continued to have on our day-to-day lives as the new ideas that often start in our colleges and universities percolate into society. A second thing that hasn't changed is the passion and dedication that the attendees to this conference continually display with respect to all aspects of computing education. As an organizing committee we have strived to put together a balanced program of panels, paper presentations, and technical sessions to stimulate, challenge, and provide you with ideas and tools to continue to fuel that passion. Again this year, the conference is being run in-cooperation with the ACM Special Interest Group on Computer Science Education and our proceedings will appear in the ACM Digital Library.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.352 | 0.147 |
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".