PROPOSAL TO ESTABLISH A BACHELOR
Bibliographic record
Abstract
Computer Engineering. The cooperation of these departments attests to the true interdisciplinary nature of the software engineering field. The intent is to start the program in September 2003 by admitting students to both first and second year. The requirements for this new program include 47 courses and mandatory work experience of 16 months. The courses, which are designed to be taken over eight terms, include 38 prescribed courses and nine elective courses. The proposed software engineering curriculum is innovative, attractive, and interdisciplinary. The proposed software engineering degree program is designed to be accredited by both the Canadian Engineering Accreditation Board (CEAB) and the Computer Science Accreditation Council (CSAC). Accreditation by both organizations befits the interdisciplinary nature of this field. Six Canadian software engineering programs have so far been accredited by CEAB [12, 13]. Three programs have been accredited by CSAC and thus meet the standards of the Canadian Information Processing Society [14]. Accreditation ensures that a program meets or exceeds the educational standards set by the accrediting bodies. CEAB, for example, specifies, in broad terms, the minimal
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.106 | 0.068 |
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".