DESCRIPTION OF PRE-UNIVERSITY CODING WORKSHOPS RECRUITING FOR DIVERSITY
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
Given the need to increase diversity in technical fields, the Schulich School of Engineering at the University of Calgary created an out-of-school coding workshop for pre-university students, now known as “Schulich Ignite.” Five of these innovative and hands-on workshops have been run since 2017 with the objective of increasing diversity in science and engineering. Since its inception, over 400 people have participated as mentees or mentors. In this paper, we describe the program as it started in 2017 and the four iterations it has gone through with focus on the recruitment techniques, organization, program delivery, and outcomes. We look at enrollment, exposure, and diversity in the program. From the preliminary results, we propose areas of future research for delivering and researching pre-university engineering workshops.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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