Knowledge Strategy to Incorporate Public Health Principles in Engineering Education and Practice
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
There is evidence that engineering products, processes, systems, and infrastructures are causing human illness in industrialized societies. A possible cause is the technical focus of engineering education and practice and their lack of emphasis on human health considerations in design and decision making. In this paper, the knowledge strategy of Vanderburg is proposed as the pedagogical basis for training undergraduate engineers in identifying and understanding human health problems to preventively address these problems in design and decision making. The knowledge strategy motivates changes to the traditional engineering curriculum to broaden the vantage point of engineering design and decision making, and to integrate principles from public health fields into design and decision making to prevent human illness. The import of public health principles from relevant life science and social science fields for inclusion in engineering education is discussed. The paper is concluded by discussing what public health contributions an enhanced engineering profession can make to industrialized countries.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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