Planning for an urban recreational landscape : tracing geographies of outdoor recreation in the compact city
Bibliographic record
Abstract
Outdoor recreational activities, at recreational facilities, in nature and urban green areas, are proven to benefit both the mental and physical health of urban residents. However, in the contemporary urban planning paradigm, where compact cities are forefront, planning for outdoor recreational amenities is increasingly in conflict with such compact ideals. In a Swedish context, a historical perspective on the question of outdoor recreation in the urban sphere discloses a rich legacy of past welfare recreational planning resting on the notion of enabling sports for all. In this thesis, I aim to offer an interpretation, and to deepen the understanding of, the interactions and tensions between outdoor recreation, compact city models and lingering planning legacies of past recreational planning. I do this in order to scrutinise the conditions for outdoor recreation within the compact city. The thesis adopts a material-semiotic approach and leans on assemblage theory, science and technology scholars working on the ordering effects of planning and previous studies on materialised discourses in the landscape. Findings of the thesis indicate an increasing fragmentation of outdoor recreation. This fragmentation leads to multiple definitions of the issue and a fragmented geography for outdoor recreation. These intertwined fragmentations, the thesis argues, support the rationales of the compact city, while marginalising outdoor recreational geographies. Based on the findings, the thesis concludes a need of reassembling landscapes for outdoor recreation and suggests that a historical perspective offers a fruitful way to do so.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".