Bibliographic record
Abstract
In Australian urban residential environments and other developed countries, Internet access is on the verge of becoming a ubiquitous utility, like water or electricity. From an urban informatics perspective, this chapter discusses emerging qualities of social formations of urban residents that are based on networked individualism and the potential of Internet-based systems to support them. It proposes that appropriate opportunities and instruments that are needed to encourage and support local interaction in urban neighbourhoods. The chapter challenges the view that a mere re-appropriation of applications used to support dispersed online communities is adequate to meet the place and proximity-based design requirements that community networks in urban neighbourhoods pose. It argues that the key factors influencing the successful design and uptake of interactive systems to support social networks in urban neighbourhoods include the swarming social behaviour of urban dwellers, the dynamics of their existing communicative ecology, and the serendipitous, voluntary and place-based nature of interaction between residents on the basis of choice, like-mindedness, mutual interest, and support needs. Drawing on an analysis of these factors, the conceptual design framework of an “urban tribe incubator” is presented.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".