So you need to choose a textbook: An investigation into first-year engineering calculus textbooks in Canada
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Bibliographic record
Abstract
The motivation for this paper was two-fold; first to examine the types of textbooks that are being used to teach calculus to undergraduate engineering students in the Canadian Universities; and, second, to assess whether these textbooks do a "good job" at teaching calculus to undergraduate engineering students.The calculus textbooks used by engineering faculties across Canada were found through an online search, either by downloading a course syllabus or through a course website. Research into these various textbooks was done through the various textbook company websites and other articles. A review of the various textbooks was provided. In addition, select calculus textbooks were selected for a more thorough review of teaching differentiation.More often universities are choosing calculus textbooks that are rooted in engineering.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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