Photographic Monitoring of Blooming of Critical Salt Marsh Nectar Sources by Citizen Scientists
Bibliographic record
Abstract
Climate warming is likely to cause differential shifts in the phenology of pollinators and nectar sources. Detection of these shifts requires careful observation of emergence and peak populations of both the animals and plants involved. On salt marshes of Canada's Chaleur Bay, the potential for asynchronous appearance of the adults of the endangered butterfly Coenonympha nipisiquit (Maritime Ringlet) and its primary nectar sources has become a concern. We used citizen scientists and simple equipment to collect field observations of blooming of key nectar sources: Lysimachia maritima (= Glaux maritima) (Sea Milkwort), Limonium carolinianum (Sea Lavender, Carolina Sea Lavender, or American Thrift), and Solidago sempervirens (Seaside Goldenrod). These species have distinctly different flowering architectures that present varied challenges to observations of initiation of blooming and peak blossoming; therefore, our results have value to a diversity of environments. We show how techniques of remote sensing can be applied to analyze photographs collected by citizen scientists, thus providing records of peak blooming and eliminating observer bias. The success of photographic monitoring depends upon floral architecture and simple shading to prevent oversaturation of sunlight.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".