Behaviour including fish migration.
Bibliographic record
Abstract
This chapter discussed how climate change can induce behaviour-environment mismatches in fish. Highlights of the chapter focused on how maladaptive behaviours, or behavioural disorders, may arise in response to climate change including increased water temperature, carbon dioxide and decreased oxygen, flow/volume, and pH in aquatic habitats. Examples of how behaviour will be impacted by climate change and make connections to how the behaviour can be maladaptive (i.e. mismatched, a 'behavioural disorder') were presented. A discussion on the limitations and opportunities for behaviour to be applied in a clinical context, prescribe solutions and evaluate the outcomes of treatments implemented for conservation was also included. Whether a behaviour can, or should, be classified as a disorder is likely to be a matter of interpretation in all but the most extreme circumstances. Maladaptive or suboptimal behaviours may be elicited predominantly when an individual does not have the necessary information or the ability to make appropriate decisions, for example when anadromous fish return to fresh water too early and deplete their energy reserves before they spawn.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.033 | 0.002 |
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; both teacher heads agree on what is shown here.
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".