Bibliographic record
Abstract
Streets represent the most common, extensive and thereby important element of public open space in cities. However, during the last four decades children have had decreasing presence in the streets; also, fewer streets are serving as unspecialised playgrounds for children. This paper attempts to describe and interpret this phenomenon from the point of view of spatial structure and morphology; it investigates the syntactic and morphological properties of streets that may have an impact on children's choices. For surveying children's preferences, empirical fieldwork has been carried out in Igoumenitsa, a small town in northwest Greece. The fieldwork is now expanding to Thessaloniki, the second largest city in Greece. For the analysis of the syntactic properties of street space, the research has applied 'syntactic analysis of spatial configuration' as introduced by Bill Hillier (UCL). For the analysis of the morphological properties of street space, the research introduces a methodology based on the form and meaning of the boundaries shaping the street space. The research outcome points that the syntactic and morphological properties of streets are critical factors controlling children's choices.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".