Design spaces and creativity: playing with LEGO® bricks
Bibliographic record
Abstract
This workshop pack is intended to be used as an open educational resource by educators in research in engineering, design, creativity and related areas. The workshop was developed as part of a PhD research project on design spaces, design creativity and computer games carried out by Esdras Paravizo under the supervision of Prof. Nathan Crilly at the University of Cambridge, UK. The workshop was first run at the Design Computing and Cognition conference (DCC’24) in Montreal, Canada in July 2024. The workshop pack contains the following materials: - Workshop presentation (with an introduction of the topic, overview of the task and discussion slides provided as a .pptx file); - Intructors guide (with detailed instructions for educators that want to host the workshop); - Task template (that participants will use during the workshop). Besides the provided materials, the workshop requires educators to have certain physical materials (LEGO bricks, precision scale, rulers and sticky notes). The files include the English and the Portuguese versions, both of which you can download as separate ZIP folders. All of the materials are provided as-is, under a Creative Commons license CC-BY
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".