The LinkVan Project: Participatory Technology Design in Vancouver
Bibliographic record
Abstract
This article tells the story of “LinkVan,” a project that explores approaches to participatory technology design to forge more equitable digital and social relations in the Downtown Eastside (DTES) community of Vancouver, British Columbia. LinkVan began as a project to create a literacy-friendly online service directory for low-income and homeless citizens. We trace the experiences and patterns of digital inequality that led to the formation of the project and describe the evolving approach to technology design oriented to “the direct involvement of people in the co-design of the technologies they use” (Simonsen & Robertson, 2013 p. 2). We consider insights from 58 user experience interviews that suggest the precariousness of access, the centrality of digital literacy education in participatory technology design, and the potential of side-by-side ‘conversations at the interface’ (Attar, 2005; Barbatsis, Comacho, & Jackson, 2004) to imagine new digital landscapes and new social relations.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".