Development, Implementation and Evaluation of a Professional Skills Development Program: The Case of Concordia University’s GradProSkills
Bibliographic record
Abstract
The Graduate and Professional Skills (GradProSkills) program is an initiative developed and run by Concordia University’s School of Graduate Studies and the university’s Office of the Vice-President, Research and Graduate Studies. This paper presents a case study in which we describe the development, implementation, and evaluative components of the GradProSkills program. Drawing on data from a rigorously validated workshop evaluation tool and from attendance figures spanning a period of a little over two and a half years, we provide a picture of how Concordia’s graduate students are benefiting from the GradProSkills program. We present the results of both descriptive and inferential statistical analyses run on a pilot group of registrants who provided evaluation data (n = 3,292). Our case study contributes an empirically derived model of extracurricular programming, with contextualizing details of administrative structures, curriculum-development initiatives, and partnership efforts that have been used in operating the GradProSkills program.
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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 | 0.023 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".