Bibliographic record
Abstract
사이먼프레이저대학교(SFU: Sim on Fraser University)는 탐험가 사이먼프레이저(Sim on Fraser)의 이름을 따서 1965년에 설립된 대학으로, 지난 40여 년 동안 교양 과목과 과학 분야뿐 아니라 학제적 전문가 프로그램에서 국제적인 강점을 가지고 있다. SFU는 지난 1993년부터 2000년 사이에 Maclean's Magazine의 대학 순위에서 5회 Canada's best com-prehensive university라는 평가를 받을 정도로 캐나다에서는 매우 높은 입지를 굳히고 있는 대학 중 하나이다. SFU는 세 개의 캠퍼스로 나누어져 있는데, 메인 캠퍼스가 Bumaby캠퍼스이고, 나버지가 벤쿠버에 있는 Harbour Center 캠퍼스, 그리고 Surrey 캠퍼스이다. 현재 SFU에는 약 25,000명의 학부생과 대학원생이 재학하고 있다.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.204 | 0.082 |
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".