Combing Core Items and Additional Items:Essence of Student Evaluation Index System of Educational Quality(SEEQ)of Universities in Canada——The Case of University of Manitoba
Bibliographic record
Abstract
The University of Manitoba is the first university in the western Canada,the largest and only research intensive university in the region.The SEEQ(Student Evaluation of Educational Quality)and its corresponding program is the main tool of teaching evaluation,which embodies the university's special management style and humanistic ideas.The index system of SEEQ is composed of core items and additional items which complement mutually and are organically unified.Both core items and additional items are used to evaluate teaching to realize the goal of teaching quality assessment.The index system design and SEEQ'S system arrangement reflect the important management ideas of the university:attaching equal importance to both science and democracy and interlinking rigidity and flexibility.In our country,we should enhance the scientific nature of index system of student evaluation of teaching,give more space for democratic participation,respect teacher's personality and encourage teachers to innovate in teaching.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".