Ferns, Spikemosses, Clubmosses, and Quillworts of Eastern North America
Bibliographic record
Abstract
I have had the pleasure of knowing Dr. Emily Sessa, the author of this extraordinary field guide, for over 15 years. Our paths first crossed at a field course on Tropical Ferns and Lycophytes in Costa Rica, sponsored by the Organization for Tropical Studies. Since then, we have regularly seen each other at botanical conferences, workshops, and American Fern Society meetings, among others. When I learned that Emily was embarking on the ambitious project of writing this book, I was both amazed and thrilled. Creating a comprehensive guide covering such an extensive region—from Peninsular Florida and the outer southern coastal plains to the central United States, the northern Midwest, the Northeast, and Canada—is a big task, and Emily has accomplished it with remarkable skill and dedication. In 2023, during the Botanical Society of America meetings in Boise, Idaho, Emily shared with us some of her field stories while working on the book. She even showed us some of the pages she was proofreading, and I was struck by the sheer amount of work and passion she had poured into this project. Now, holding the finished book in my hands, I can say that my excitement was well-founded.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".