Nanomaterials in Newfoundland: Designing a Lab Kit for Grades 9-12 to Bridge the Gap Between Science and Engineering
Bibliographic record
Abstract
Innovation has its fundamental roots in engineering and entrepreneurship.This paper presents primary research gathered from high school science teachers from selected K-12 schools across Newfoundland and Labrador, Canada, addressing specifically the gaps that they have identified as being most challenging in defining what Engineering is in the realm of science curriculum in grades 9-12.This paper will also describe the development of a hands-on learning tool, a "portable materials science lab kit" that considers the input from these community educators and uses nanomaterials, to demonstrate what Engineering is and how Engineering and Innovation are relevantly applied to the important sectors of the province.The "portable lab kits" are designed for high school classrooms, in which small groups of students work through hands-on laboratory modules focusing on a specific material in a specific application.The "portable lab kits" can also be used by teachers as interactive demonstrations of specific scientific concepts in engineering applications.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".