Spatial and temporal patterns of recruitment of coral reef fishes to the west coast of Barbados (West Indies) : an approach using a novel standard unit of settlement habitat
Bibliographic record
Abstract
This thesis is in a manuscript-based format and consists of a collection of papers of which I am first author. Together, these papers form a cohesive report of a single program of research. This thesis comprises the following four manuscripts, which have either been published or accepted for publication, or are currently in preparation for publication: Chapter 1: Valles, H., Kramer, D. L., Hunte, W. (2006) A standard unit for monitoring recruitment of fishes to coral reef rubble. Journal of Experimental Marine Biology and Ecology 336 171-183; Chapter 2: Valles, H., Kramer, D. L., Hunte, W (in press) Temporal and spatial patterns in the recruitment of coral-reef fishes in Barbados, West Indies. Marine Ecology Progress Series; Chapter 3: Valles, H., Hunte, W., Kramer, D. L. (in preparation) Environmental correlates of temporal patterns of recruitment in an assemblage of coral reef fishes; Chapter 4: Valles, H., Hunte, W., Kramer, D. L. (in preparation) Differential effect of early post-settlement processes on the abundance of two concurrently settling coral reef fishes. Although the four aforementioned chapters represent the bulk of my doctoral research, during my last field season (2003-2004), I collected a considerable amount of data that is not part of the thesis, but has been partially analyzed and the results were presented at the Ecological Society of America meeting in Montreal in August 2005. This work also constitutes a manuscript in preparation entitled "Differential habitat use of an assemblage of coral reef-fish recruits and potential predators". I often refer to this work in Chapter 4.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".