Modulations in electrocommunication behaviour and non-invasively measured 11-ketotestosterone during cue-induced seasonal breeding in the weakly electric fish, «Apteronotus leptorhynchus»
Bibliographic record
Abstract
Androgens are correlated with reproductive behaviours including courtship and aggression. In the weakly electric fish, Apteronotus leptorhynchus, 11-ketotestosterone (11-KT) has been previously implicated in the regulation of electrocommunication behaviours that are believed to have roles in both aggression and courtship. In this thesis a method for performing repeated, non-invasive measurements of androgens released into the water was validated and applied for the first time in A. leptorhynchus. Changes in 11-KT levels and electrocommunication behaviour were observed in males following environmental cues that simulated the onset of the breeding season. Males showed an increase in mean electric organ discharge frequency (EODf), which is consistent with earlier results showing a female preference for high EODf. A subset of males with high EODfs showed increases in both 11-KT and EODf which provides support for an EODf-based dominance hierarchy in this species. No direct correlation was seen between 11-KT and EODf, however, which suggests that other factors are involved in regulating male EODf. Electrocommunication signals produced during inter-male aggression were confirmed to serve in deterring attacks, and their pattern of production further suggested the formation of a dominance hierarchy. Evidence is presented that another type of electrocommunication signal previously implicated in courtship may be an inter-male signal of submission. The method for non-invasive hormone sampling first applied here will form the basis for future investigations of the hormonal control of communication behaviour.
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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 | 0.000 | 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) | 0.001 | 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".