Adrift on a Sea of Troubles: Can Amphibians Survive in a Human-Dominated World?1
Bibliographic record
Abstract
The calamity of amphibian population declines has preoccupied the thoughts of many amphibian biologists for the past 30 yr. Because amphibians provide multiple essential ecosystem services at all life stages, the threats associated with their decline are likely also to be multiple and interconnected. No single cause has yet explained all amphibian declines; one potential threat after another has been investigated in isolation and found to explain only a piece of a larger puzzle. A more holistic, synergistic approach is needed to understand how, and when, normally tolerated environmental influences might exceed the capacities of amphibian populations to cope either phenotypically or evolutionarily. Ultimately, the factors generally implicated in amphibian declines are all secondary to habitat loss and degradation caused by human activity. Because the roots of this problem are cultural and economic, the solutions do not lie solely within the realm of science but instead require political and societal action.
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 | 0.000 | 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) | 0.003 | 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".