Creating Equity-Focused STEM Learning Programs with k2i academy
Bibliographic record
Abstract
Abstract k2i (kindergarten to industry) academy within the Lassonde School of Engineering at York University works to meaningfully design and integrate equity and inclusion based science, technology, engineering and math (STEM) programs into all areas of education. These programs address systemic barriers that limit youth from succeeding in STEM areas, pursuing further education and finding a place in industry. The Bringing STEM to Life: Work-Integrated Learning program was designed to address inequities for underrepresented high school students by offering a high school physics credit during the summer in addition to a paid position as a Lab Assistant collaborating with Lassonde Faculty researchers and industry partners. k2i academy partners with school boards in the greater Toronto area to identify Women, Black and Indigenous students within their communities to participate in the experience. The educators, faculty researchers and undergraduate mentors who facilitate the work collaborate to create culturally relevant curriculum that focuses on engineering design, coding and computational thinking with a focus on sustainability through the use of the United Nations Sustainable Development Goals.
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.
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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 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 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".