A RETROSPECTIVE: DESIGNING A CAREER DEVELOPMENT PREPARATION COURSE IN A MANDATORY COOP ENGINEERING TECHNOLOGY PROGRAM
Bibliographic record
Abstract
In the 2012-2013 academic year McMaster’s University School of Engineering Technology (SET) introduced a Professional Workplace Practices course (GENTECH 2PW3) within the Bachelor of Technology (B.Tech) Program. The course uses an experiential learning approach to instill key employability skills required to successfully participate and progress in today’s dynamic engineering and technology organizations. It is a second year academic prerequisite before a student can commence the B.Tech Program mandatory 12 month coop work experience. The course is delivered and supported by a multidisciplinary team that includes faculty members, career development practitioner, who serve as instructional assistants, and the McMaster Engineering Career and Coop Services (ECCS) department. For the purposes of knowledge sharing, this paper will discuss the GENTECH 2PW3 course structure, delivery, administration, and outcome results for 470 students from the last three cohort years.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".