Recruitment, population structure, and habitat selection of <i>Corynosoma australe</i> (Acanthocephala) in South American fur seals, <i>Arctocephalus australis</i>, from Uruguay
Bibliographic record
Abstract
We analysed recruitment, population structure, and intestinal distribution of Corynosoma australe Johnston, 1937 in 27 South American fur seals, Arctocephalus australis (Zimmerman, 1783), collected in two Uruguayan localities during 1990 and 1991. Only heavy infections of C. australe were found in all intestines. High transmission rates might result from the massive concentration of fur seals in the study area and the ecological ubiquity of C. australe. Intestinal length (IL) accounted, through a cubic relationship, for most of the variation (74%) in parasite intensity. IL3 also predicted the percentage of juvenile females among hosts (an indicator of recruitment rate) better than intensity or host body size. Intestinal size might be a suitable surrogate of host metabolic rate, the potential factor influencing intensity. The percentages of females and gravid females significantly increased along the intestine, and the distribution of juvenile females, gravid females, and males significantly covaried after controlling for intensity effects. These patterns suggest that worms migrate towards the lower jejunum and ileum while they mature, copulate, and reproduce. Males and gravid females shifted their distribution anteriad, and gravid females expanded their distribution, with intensity. These patterns might result from recruitment dynamics, intraspecific competition, or both. We do not know why males, gravid females, and juvenile females respond differently to these factors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".