Technologies in Mangrove-Friendly Aquaculture. Final Report of and Papers Presented to the On-Site Training on Mangrove-Friendly Aquaculture, Hai Phong City, Socialist Republic of Vietnam, 19-30 April 1999
Bibliographic record
Abstract
This document contains the final report of and papers presented as lecture materials, to the On-Site Training on Mangrove-Friendly Aquaculture held in Hai Phong City, Socialist Republic of Vietnam from 19 to 30 April 1999. This document replaces the Advance Copy of the Report issued in May 1999. \nFourteen experts on mangroves and aquaculture served as lecturers and resource persons. Technologies in Mangrove-Friendly Aquaculture, in general were introduced, taking into consideration the results of the Workshop on Mangrove-Friendly Aquaculture, 11-15 January 1999, Iloilo City, Philippines. \nThe On-Site Training was participated in by 25 participants; 20 from Vietnam and 5 from Cambodia. The conduct of the On-Site draining was an offshoot of the Project SD/AQ99-CM01 with the SEAFDEC Secretariat which also allocated the necessary funds from the Japanese Trust Fund. The Canada-ASEAN Centre based in Singapore provided funds for the participation of the trainees from the Kingdom of Cambodia.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.020 |
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".