Toward Understanding Person–Place Transactions in Neighborhoods: A Qualitative-Participatory Geospatial Approach
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
Background and Objectives: Emerging research regarding aging in neighborhoods emphasizes the importance of this context for well-being; however, in-depth information about the nature of person-place relationships is lacking. The interwoven and complex nature of person and place points to methods that can examine these relationships in situ and explore meanings attached to places. Participatory geospatial methods can capture situated details about place that are not verbalized during interviews or otherwise discerned, and qualitative methods can explore interpretations, both helping to generate deep understandings of the relationships between person and place. This article describes a combined qualitative-geospatial approach for studying of older adults in neighborhoods and investigates the qualitative-geospatial approach developed, including its utility and feasibility in exploring person-place transactions in neighborhoods. Research Design and Methods: We developed and implemented a qualitative-geospatial approach to explore how neighborhood and person transact to shape sense of social connectedness in older adults. Methods included narrative interviews, go-along interviews, and global positioning system tracking with activity/travel diary completion followed by map-based interviews. We used a variety of data analysis methods with attention to fully utilizing diverse forms of data and integrating data during analysis. We reflected on and examined the utility and feasibility of the approach through a variety of methods. Results: Findings indicate the unique understandings that each method contributes, the strengths of the overall approach, and the feasibility of implementing the approach. Discussion and Implications: The developed approach has strong potential to generate knowledge about person-place transactions that can inform practice, planning, policy, and research to promote older adults' well-being.
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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 | 0.002 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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