On the Fence: Dog Parks in the (Un)Leashing of Community and Social Capital
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using qualitative data, this article critically explores social processes of human relationship-building in dog parks and their implications for enhancement of community (or lack thereof). Doing so contributes to the leisure literature by expanding understanding of the roles dogs can play in facilitating social capital among people. Similar to online gaming communities where users experience shared virtual space through an avatar, findings from this study suggest owners navigate parks through their pet. How dogs behave toward other dogs and toward people influence their owners’ social networks and access to resources. Positive interactions provide opportunities for relationships and communities of interest to form, where sources of support, information sharing, collective action, and conformity can be mobilized. Negative perceptions of dogs, however, often extend towards owners, thereby leading to tension, judgment, and sometimes even exclusion from social networks or public space altogether. Recommendations are offered for policy and future research.
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.
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 | 0.001 |
| 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 it