Enhancing outreach through the University of Ottawa Maker Mobile
Bibliographic record
Abstract
The Maker Mobile program is a new modelfor outreach at the faculty of engineering atthe university of Ottawa that allows foryearlong delivery of high quality technologyworkshops to the community atlarge. Through the transportation of rapidprototyping technologies in a 12-foot orangecube truck, the Maker Mobile deliveredmore than 719 workshops and reachedmore than 14000 youth in the past year. Inparticular this program is helping teachersincorporate engineering into theirclassrooms through hands on designactivities. This fosters interest forengineering while helping recruitmentefforts. The Maker Mobile is also helpingthe faculty develop relationships with highschools, teachers and school boards for thedevelopment of new spin off outreachinitiatives. The Maker mobile builds on asolid foundation for outreach at the facultyof engineering. Three important factorshave contributed to the development of astrong foundation for our outreach program.These factors include developing processesthat ensure sustainability and scalability, astrong association to the institution, whichcreates demand for programs and aninternal support structure that ensuresprograms have the necessary resources toscale.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".