A Bibliometric Assessment of Canadian Software Engineering Scholars and Institutions (1996-2006)
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
This paper summarizes a ranking of Canadian researchers and institutions in the field of software engineering from 1996 to 2006, based on two metrics: impact factors, and h-index. The ranking is going to be an ongoing, annual event to identify the top 50 scholars and top 50 institutions over a 10-year period in Canada. The rankings are calculated based on the impact factor and h-index of papers published in top 12 selected software engineering journals and conferences. The top-ranked institution is Carleton University, and the top-ranked scholars (by each of the two metrics) are Lionel Briand (formerly with Carleton University) and Gail Murphy from UBC.
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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.553 | 0.643 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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