The Arctic Flora of Canada and Alaska Project.
Bibliographic record
Abstract
<b>Abstract:</b>The Arctic Flora of Canada and Alaska project aims to produce a new flora treating all vascular plants (ca. 800 species) in the Arctic ecozone in Canada and northern Alaska. Our research team includes botanists from Canada, Norway, and the United States, and is being led by researchers at the Canadian Museum of Nature. We are using a web platform to move the Flora beyond traditional standards, and to produce a treatment that is digital and interactive, taking full advantage of current web and database technologies. The flora will include parallel taxon descriptions, dichotomous keys, detailed nomenclatural data, common names, information on traditional uses, taxonomic comments, and will be richly illustrated with photographs taken in the field and of herbarium specimens showing characters important for accurate identification. Tracking specimens examined will allow future verification of distributional and descriptive data, and will facilitate production of dynamic distribution maps. The Arctic Flora of Canada and Alaska website (http://arcticplants.myspecies.info) will be updated with content on an ongoing basis. The Flora will eventually serve as the key source of information for anybody who requires accurate and up-to-date information on the Arctic flora, including those involved in Arctic terrestrial monitoring, students in the north and elsewhere, and the international botanical community. It will also serve as an up-to-date source of baseline information on plant biodiversity in one of the worlds’ most climate-threatened ecosystems.<i><br></i><i>Poster presented at the XIX International Botanical Congress, Shenzhen, China, 23–29 July 2017. </i>
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 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 | 0.001 | 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) | 0.002 | 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".