Systemic design agendas in education and design research
Bibliographic record
Abstract
Since 2014, an international collaborative of design leaders has been exploring ways in which methods can be augmented, transitioning from the heritage legacy focus on products and services towards a broad range of complex sociotechnical systems and contemporary societal problems issues. At the RSD4 Symposium (2015), DesignX co-founder Don Norman presented a keynote talk on the frontiers of design practice and necessity for advanced design education for highly complex sociotechnical problems. He identified the qualities of these systems as relevant to DesignX problems, and called for systemics, transdisciplinarity and the need for high-quality observations (or evidence) in these design problems. Initial directions found were proposed in the first DesignX workshop in October 2015, which were published in the design journal Shè Jì. In October 2016, another DesignX workshop was held at Tongji University in Shanghai, overlapping with the timing of the RSD5 Symposium where this workshop was convened. The timing of these events presented an opportunity to explore design education and research concepts, ideas and directions of thought that emerged from the multiple discussions and reflections through this experimental workshop. The aim of this paper is to report on the workshop as a continuing project in the DesignX discourse, to share reflections and recommendations from this working group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".