University Studies Leadership: Vision and Challenge
Bibliographic record
Abstract
Abstract Although University Studies at Portland State University often receives attention for its signature curricular structure of year-long thematic mentored Freshman Inquiry, thematic mentored Sophomore Inquiry, thematic departmental Cluster courses, and community-based Capstone courses, it is the underlying pedagogical values and philosophy that represent the real revolution in higher education—a revolution that is ongoing at Portland State. Few large state universities can claim to offer a quarter-century of experience with general education change of this magnitude. This article addresses how a shared purpose evolved over the course of University Studies' history and was impacted by what various leaders emphasized during their tenure. Representing bookends of the quarter-century existence of University Studies, two voices make up the authorship of the article: the president of Portland State at the time of the founding of University Studies, who catalyzed the processes that led to this ground-breaking program, and the current executive director, who has made transparent the ethic of care embedded in the program from the start. Together, the authors tell the story of University Studies' past and present and look to its future, highlighting how evidence-based, relational, caring innovation has resulted in the program through the collaborations of its empowered constituents.
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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 | 0.021 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.036 |
| Scholarly communication | 0.032 | 0.018 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".