Reproductive strategies in <i>Akodon azarae</i> (Rodentia, Muridae)
Bibliographic record
Abstract
The balance between litter size and the quality of offspring is a central feature to many optimal litter-size theories. We analyzed the reproductive strategies of Akodon azarae (Fischer, 1829) females, according to maternal life histories and the time of birth. Litter size decreased significantly from spring to autumn. A significant birth–season effect on mass at birth was observed. A compensatory effect of growth rate was evident during lactation. During spring and early summer, over-wintered females produced an average of 5 young, with maximum survival at weaning (100%). Females born during the current reproductive season showed a smaller litter size, probably because they favor residual reproductive value with respect to current reproduction since they have a higher life expectancy and future chances of mating than over-wintered females. Mortality reached 50% at weaning for summer litters from young mothers, whereas it declined to 22.2% in autumn. Differences in both parental investment and offspring survival suggest that litter size in A. azarae varies along the reproductive period and is dependent both on females' life history and on environmental conditions.
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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 | 0.000 |
| 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".