Biodiversity: The Interface Between Systematics and Conservation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The rapid development of interest inbiodiversity has provided unprecedented opportunities for interactions among disciplines. Although systematic biology and conservation biology have developed largely independently of one another, it is clear now from the burgeoning literature that conservation concerns can motivate systematic studies and that better knowledge of the systematics of organisms can provide critical information for the conservation and management of biodiversity. The most obvious need for systematics in conservation biology is that any study depends on the accurate identication and classication of organisms, a point clearly illustrated by the cover ofNature entitled, “Bad taxonomy can kill” (related to an article by May, 1990). We have assumed this basic premise and used this symposium to explore further interactions of systematics and conservation biology. This symposium brought together researchers fromawidevariety of elds related to biodiversity and conservation to discuss the relevance of systematics to their research and to evaluate various techniques thatmake use of systematic data in conservation studies. The topic is timely because of the wealth of new technologies andmethods now available to incorporate both historical and recent systematic data into conservation planning tools, as well as the increased recognition of the importance of systematic and phylogenetic considerations in conservation biology. Several new journals (e.g., Biodiversity and Conservation, Diversity and Distribution) reect the greater interest in these areas. The purpose of this group of six papers is to present examples of new ideas on how information from systematic biology can be used in conservation studies and to encourage collaboration among disciplines. In-
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.
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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 it