A Picture<i>and</i>1000 Words: Using Resident-Employed Photography to Understand Attachment to High Amenity Places
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
AbstractResearch on attachment to high amenity places has usually focused on visitors, despite the fact that many of these settings also may hold permanent residents. Visitor employed photography (VEP) has been used to understand landscape elements that increase the quality of the recreational experience. Our research applies the techniques of VEP to analyze local elements that foster place attachment among permanent residents of high amenity areas. We provided single use cameras to 45 subjects in two communities located in and adjacent to Jasper National Park, Alberta, instructing them to take photos of elements that most attach them to their community. Our results reveal a complex relationship between ecological and sociocultural factors in attachment; these elements are not separate, but help define each other.KEYWORDS: Sense of placevisitor employed photography
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it