Effects of Simultaneous vs. Sequential Settlement on the Territorial Behaviour of Juvenile Rainbow Trout (<i><scp>O</scp>ncorhynchus mykiss</i>)
Bibliographic record
Abstract
Abstract The aggression hypothesis predicts that territories will be smaller and more numerous when individuals arrive simultaneously rather than sequentially, because of the prior residency effect, whereas the attraction hypothesis predicts the opposite. In this study, we test the predictions of these contrasting hypotheses by releasing 12 juvenile rainbow trout (Oncorhynchus mykiss) either simultaneously, all on 1 d, or sequentially, two per day for 6 d, in artificial streams. After the fish spent an average of 1 wk in the streams, we quantified the number of territories established, territory size, aggression rate and growth rate. There was evidence of a prior residency effect – early arrivers were more aggressive and grew faster than late arrivers – but this effect did not alter the number or size of territories established. We concluded that the temporal patterns of arrival have no strong effects on the territorial dynamics of juvenile rainbow trout.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".