Ecology Needs a Convention of Nomenclature
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
Many areas of science have adopted nomenclature rules that facilitate research and communication. In contrast, ecological terminology is constantly redefined across disciplines, plagued with synonymy and polysemy, and foundational terms (and the theories and hypotheses behind them) are overlooked. We contend that this situation handicaps the progress of ecology. We review the causes and consequences of terminological uncertainty and propose a convention of ecological nomenclature (CEN) as an indispensable requirement of ecological synthesis. The core components of a CEN are its endorsement by a transnational institution; a policy framework managed by an advisory committee; and a centralized, peer-reviewed revision of terminology whereby ecologists are proponents and users of a unique, open-access repository of terms, definitions, and ontologies. A CEN should become the basis of a cross-disciplinary platform of communication among ecologists, journals, and the public and aligns with the ongoing initiative toward data globalization in ecology and other disciplines.
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 | 0.000 | 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) | 0.024 | 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 it