Understanding Collaborative Design Through Activity Theory
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Complex projects are often designed and developed through teamwork of different disciplines, which allows for the consideration of multiple perspectives and knowledge construction across specific expertise. Although this type of collaborative design has been granted many benefits, it is also known that multidisciplinary teams can encounter difficulties when they go about sharing information and knowledge. With the intent of gaining clearer understanding of teams’ interactions to reach the project outcome, we propose to use Activity Theory as a framework to analyse a team’s collaborative evolution. This article seeks to demonstrate the value of Activity Theory to explain and interpret a design situation. The findings confirm its strong potential to gain in-depth understanding of a team’s progression in an authentic design project. Activity Theory seems to provide a robust method to accurately disentangle the collaborative dynamics. Therefore, we seek to demonstrate the promising advantages of this framework as a next methodology for design research.
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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 | 0.003 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it