The Y-Shaped Designer—Connective Competences as Key to Collaboration across Disciplines
Bibliographic record
Abstract
This paper reports on the re-development of our MA curriculum in design. Main objective of this development is a more practice- and project-based MA Curriculum that delivers connective competences for the collaboration across disciplines, rather than specializing in a specific design domain. For design education, we therefore propose a re-visited model of T-shaped skills by proposing the Y-shaped Designer, who acts in collaborations across disciplines thanks to a disciplinary root, a clearly perceived role and the ability to generate multimodal design outputs. The paper’s discussion is based on a study of the current shift in the Swiss Creative Economy, an alumni survey, a literature review focusing undisciplinarity and a series of expert-workshops, that led to the identification of the required skills our graduates need to successfully connect with a globalizing creative economy. First results are a re-definition of the competences and learning goals targeted in the new curriculum, as well as a set of didactical approaches extending the curriculum to what is meant to become a real-world lab for MA students in design.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".