Walking from London to the world: An interview with the ‘Walkative Society’
Bibliographic record
Abstract
The 'Walkative Society' is a student-led project which emerged in 2015 at the Royal College of Art (RCA).It emphasizes walking as a means of discovery and of engaging in a dialogue between 'walkers'.The walker's relation to urban spaces, their possible readings of them, and their use of them for a wide range of artistic practices are the subject of 'The Walkative Society' exploration.Through participant and guest-led walks, as well as written and visual documentation, the project explores how walking can trigger processes of thinking, researching, collaborating and creation.With a presence in different places such as London, Toronto, Los Ángeles, Santiago, or Hong Kong, the 'Walkative Society' aims to re-discover and renew the practice of walking as a means of finding different ways for us to relate to the spaces that we inhabit in the era of urbanisation and digitisation.We have had the chance to talk with Alastair Kwan, the current co-president of the 'Walkative Society', about their experience and approach to walking in the past and in light of the current world situation.You can check out their past and future projects on Instagram, Facebook or their website (http://thewalkativeproject.org/).Diffractions-Should we start at the beginning?Can you tell me about the 'Walkative Society'?How did it start?Alastair Kwan-I should start by saying that there is, or there was, a difference, maybe not a hard difference anymore, between the 'Walkative Project' and the 'Walkative Society'.The former was founded by Jaspar Joseph-Jesper and Simon King, who were both teaching at the RCA; one is a researcher, and the other one is a fine artist.They co-founded the project in 2013.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.012 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".