Bibliographic record
Abstract
Pursuant to the international character of this publication, the journal is listed and indexed by the following agencies: (1) Thomson Reuters (ISI) Science Journal Master List; (2) The Gale Group (USA); (3) Public Knowledge Project, a consortium of Simon Fraser University Library, the School of Education of Stanford University, and the British Columbia University, Canada: (4) E-International Scientific Research Journal Consortium; (5) Philippine E-Journals; (6) Google Scholar; and, (7) Philippine Journals Online. The Asian Journal of Biodiversity (AJOB) is open to the global community of scholars who wish to have their researches published in a peer-reviewed journal. Contributors can access the websites: www.ejournals.ph, www.eisrjc.com, www.philjol.info, and www.asianscientificjournals.com. The Editorial Board invites guest editors and peer reviewers from the Philippines and abroad for every issue of the journal. The Asian Journal of Biodiversity is viewed as a premier journal that publishes peer-reviewed biodiversity researches. Publishable research articles embrace new discoveries in species diversity, ecological diversity, genetic diversity and biodiversity education, which provide new information necessary to preserve, conserve and protect the faunal and floral richness of Asia. The journal primarily has as its audience, scientists, academicians, graduate students, environmentalists, policy makers, and other individuals interested in pushing the frontiers of biodiversity research. The primary criterion for publication in the Asian Journal of Biodiversity is the significance of the contribution an article makes to the body of knowledge. The efficiency and effectiveness of the editorial review process are critically dependent upon the actions of both the research authors and the reviewers. An author accepts the responsibility of preparing the research paper for evaluation by independent reviewers. The responsibility includes subjecting the manuscript to evaluation by peers and revising it prior to submission. The review process is not to be used as a means of obtaining feedback at early stages of developing the research paper.
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 | 0.020 | 0.105 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.731 | 0.681 |
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".