Floristics and taxonomy of the endemic diatom flora of the ancient Malili Lakes, Sulawesi Island, Indonesia.
Bibliographic record
Abstract
The mechanisms regulating the taxonomic composition and relative abundance of taxa within biological systems are poorly understood. The diatoms of the ancient Malili Lakes (Sulawesi Island, Indonesia), however, provide an ideal system to quantify the relative importance of various mechanisms and selective processes, including geographic isolation, competition, selection, and physical limnology on the physical morphology and community characteristics of living organisms. In a quantitative examination of the floristics of the diatoms of the Malili Lakes, I evaluate the influences of geographic isolation and propagule pressure on the development of the diatom floras of the individual lakes. This floristic examination demonstrates that widely accepted stochastic models of diatom dispersal and colonization do not apply to the Malili Lakes and that the diatom floras of these lakes are regulated by mechanisms operating on the lake-to-lake, or within lake scale. In a subsequent taxonomic review of the genus Surirella, which contains descriptions of 11 taxa new to science, I demonstrate the morphological cohesiveness of the Surirella taxa of the Malili Lakes and evaluate the importance of physical limnology and novel morphological structures in the development and maintenance of highly endemic floras.Dept. of Biological Sciences. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .B73. Source: Masters Abstracts International, Volume: 44-03, page: 1273. Thesis (M.Sc.)--University of Windsor (Canada), 2005.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".