Bibliographic record
Abstract
This research investigated the life history and demographics of exploited, tropical seahorses. My thesis was designed to use the unusual morphology of seahorses (Hippocampus comes and H. spinosissimus in the central Philippines), to test the life history structure and strategies of tropical reef fishes. I then made direct use of ecological findings in order to evaluate risk associated with the capture of tropical seahorses for active and growing international markets. Hippocampus comes has a broadly bipartite life history comprising three biologically distinct phases; planktonic newborns, settled juveniles and adults. Most vital rates that govern the population turnover of H. comes confer low susceptibility to risk. Simultaneously, aspects of abundance (range and distribution), developed parental care, behaviour and susceptibility to fishing, increase the species' inherent vulnerability. Stage-structured matrix models examined the outcomes of temporal closures and size-based harvesting for managing artisanal seahorse fisheries. Simulations showed that when fishing occurred throughout the year at relevant intensities, slot sizes provided better protection for populations than minimum size limits, as well as greater cumulative catches over 10 year time horizons. The ontogenetic ecology of tropical seahorses is comparable to most warm-water reef fishes, sharing: 1) a broadly bipartite life history, 2) dispersal likely to confer demographic connectivity at the scale of 10s-100s of km, 3) young that advect passively early in the pelagic phase, and 4) ontogenetic habitat associations that segregate benthic individuals into multiple ecologically distinct stages. Unusually, seahorses have: 1) a pelagic phase inferred to last between 5-
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 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) | 0.002 | 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".