Life on the Purple Loosestrife: A Citizen Science Project
Bibliographic record
Abstract
The citizen scientist project Life on the Purple Loosestrife (www.flickr.com/groups/lifeontheloosestrife) was designed to track the use of the invasive wetland plant purple loosestrife (Lythrum salicaria) by other organisms. With the goal of surveying as wide a region as possible, volunteers were recruited using the photography site Flickr and were asked to photograph any plant or animal observed on wild purple loosestrife plants. Forty-three volunteers from three different countries and four different US states have participated in the project so far. Preliminary results revealed the presence of twelve different orders of plants, gastropods, insects and spiders, with forty-three different insect and spider families represented. The insect data was comparable with a peer-reviewed study performed in Canada in 1994, and demonstrates not only that citizen scientist teams are effective at collecting valuable biological data but also that the internet is an effective tool to share such data. While a species survey project of this type will invariably lack depth compared to a typical scientific study performed by experienced biologists, it offers the advantage of greater geographic breadth (with photographers in several U.S. states, the UK, and Japan) and serves as educational outreach to inform the public about invasive species and the importance of wetland habitats. Most importantly, it helps reduce the large gap that exists in the current knowledge about the integration of invasive plants into the natural environment.
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.
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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".