Review of the book: Crawley E. F., Malmqvist J., Östlund S., Brodeur D. R., Edström K. (2014) Rethinking Engineering Education: The CDIO Approach. 2nd ed. New York: Springer.
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
In November 2014 in the series “The Library of the Educational Studies Journal” a new book by Edward F. Crawley, Johan Malmqvist, Soren Östlund, Doris R. Brodeur, Kristina Edström “Rethinking Engineering Education: The CDIO Approach” (2nd ed., translated by S. Rybushkina, science editor A. Chuchalin) will be out. Since an original work of professor Edward Krawley and his team was published by “Springer” in March 2014, experts overseas have already formed their opinions about it, so we offer you two reviews — by professor Mats Hanson from Sweden and professor Kleman Fortin from Canada.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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