Skateboarding and the changing city: lessons from the public spaces of Reykjavik
Bibliographic record
Abstract
Skateboarding has become a world-wide phenomenon that has the ability to fit into any culture. Iceland supports a healthy, vibrant skateboard culture. The city itself is young and undergoing many changes presently that have both positive and negative effects on the skateboard community. These redevelopment projects have an impact on the skateboarders' identities because they are formed out of occupied spaces. Qualitative methods such as participant observation were used to explore Reykjavik's skateboard culture. Understanding how skateboarders feel about public spaces can help in understanding how these spaces can be used to improve the city. Some of the most important skatespots in Reykjavik are Ingolfstorg and Harpa, both of which are part of redevelopment projects. Having access to this type of high quality public space has provided a setting for the development of a healthy skateboard community.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.018 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| 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".