The Gregorio T. Velasquez Phycological Herbarium (MSI): a Legacy and National Heritage
Bibliographic record
Abstract
We present here the history and contents of one of the most important herbaria in the Philippines – the Gregorio T. Velasquez Phycological Herbarium of the Marine Science Institute (MSI) at the University of the Philippines (UP) Diliman. The MSI herbarium was established in the early 1970s by Dr. Gavino C. Trono Jr. and was named in honor of his mentor Dr. Gregorio T. Velasquez, the “Father of Philippine Phycology.” Collections in the MSI herbarium are primarily made by Filipino phycologists within the coasts and offshore islands and reefs of the Philippines. The MSI herbarium currently holds ~ 55,000 algal and seagrass specimens collected from various areas in the country and abroad. As the largest repository of marine plants in the Philippines and the ASEAN (Association of Southeast Asian Nations) region, we consider the MSI herbarium as both a legacy and national heritage that we owe to the pillars of Philippine phycology – Dr. Gavino C. Trono Jr. and the late Dr. Gregorio T. Velasquez.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".