Using Photovisualizations to Gain Perspectives on River Conservation over Time
Bibliographic record
Abstract
The Missisquoi River originates in a densely forested, hilly, and lightly populated region in northern Vermont, USA, flowing north until it crosses the Canadian border. The upper American stretches of the river are federally designated as “Wild and Scenic” in recognition of its outstanding natural, cultural, and recreational values. This paper reports on the place-based and river-focused perspectives of rural residents who live and work along the Missisquoi River and its tributaries and who are the recipients of Vermont’s shifting river management strategies. The mixed methods research drew on participant observation, interviews, and interpretations of photovisualizations (PVZs). The PVZ method identified the different geographical imaginaries held by residents and conservation professionals, demonstrating that PVZs can be used as a method to foster dialogue about sense of place and conservation initiatives. Visual aids can help unveil the complex, temporal relationships between landowners and the adjacent waterways, which in turn influence participation in river restoration efforts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".