Alien mammals and the trophic position of the lesser grison (<i>Galictis cuja</i>) in Argentinean Patagonia
Bibliographic record
Abstract
The lesser grison (Galictis cuja), a poorly known mustelid of southern South America, has been described as a catholic feeder living close to water. Consequently, the potential exists for competition with the recently introduced American mink (Mustela vison). Nonetheless, like most ferrets the lesser grison can be a specialized mammal hunter, in which case it could benefit from introduced mammalian prey (the European hare, Lepus europaeus, and European rabbit, Oryctolagus cuniculus). The diet and trophic position of the lesser grison in Argentinean Patagonia are described in order to discuss the potential effects of introduced mammalian species on grison populations. Mammals (mainly native rodents and introduced lagomorphs) occurred in 100% of the feces and represented 95% of the biomass consumed. In one site, European hares and rabbits reached a combined 66% of biomass consumed, whereas in the other site rabbits were scarce or absent and lagomorphs represented 35% of the biomass consumed. We postulate that lesser grison populations in Patagonia have benefited from the introduced lagomorphs. On the other hand, lesser grisons frequently occupied river valleys, but did not rely on aquatic or semiaquatic prey. Hence, hunting-habitat preference segregates this mustelid from the American mink (Mustela vison), which consumes a catholic diet in which aquatic species usually predominate.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".