A Tool for Participatory Negotiation: LINKing-UP Participatory Design and Design Knowledge Reuse
Bibliographic record
Abstract
We describe a web-based prototype that enhances participatory design by providing participatory negotiation mechanisms between designers and potential end-users of a proposed system. As a module of LINK-UP, a repository for reusable design knowledge, our tool compliments scenario-based design processes, helping designers and potential end-users improve consensus. Negotiation spans a whole design cycle, but our initial focus is on requirements analysis. We report promising results from a pilot evaluation and suggest directions that will further improve the synthesis of participatory design, reuse of design knowledge, and development of design-support tools.
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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 | 0.166 | 0.179 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.012 | 0.008 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.017 | 0.019 |
| Open science | 0.007 | 0.029 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".