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
Neighborhood social ties matter crucially, especially during stressful life events like a global pandemic, for they represent vital sources of wellbeing and community capacity. Activities that enable community members to engage in incidental sociability and acts of "neighboring"-that is, authentic social interactions with their neighbors-warrant attention from sport and active living researchers because of their potential to bolster the social fabric of our neighborhoods and facilitate neighbors' access to important resources, such as information, material resources, and social support. Though perhaps dismissed as trivial, neighborhood walking represents a valuable and underappreciated everyday activity that fits this description, especially in an age characterized by an epidemic of social isolation and loneliness. Despite its vast potential to address the quasi-anonymity of urban life, neighborhood walking remains surprisingly underexamined as a facilitator for fostering social connectedness, the sense of connection and social bond people feel toward others. The goal of this manuscript, therefore, is to establish the conceptual grounding for how neighborhood walking strengthens social ties among neighbors to facilitate access to important coping resources. In doing so, it aims to advance a research agenda on walking that moves beyond the benefits of physical activity.
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 | 0.001 | 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 it