Bibliographic record
Abstract
Islands play an important role in marine economic development,oceanic right ascription,and national defense.So,the study of the origin classification of islands is of not only theoretic significance,but is of also important applied value.Traditionally,islands are divided into continental island,oceanic island(volcanic island,coral island) and alluvial island in the ocean.This kind of classification can no longer adapt to match the new progress in the Earth Science today.According to plate tectonic theory and oceanic landforms system,the paper explains the origin of islands,and a new classification system of ocean island is proposed.We divide islands into geotectonic-geomorphic system island(continental terrace island,island of island arc,island of oceanic basin,mid-oceanic ridge island)and exoenetic force-geomorphic system island(sand island,coral island).At the same time,traditional classification is revised,and islands are divided into continental island,oceanic island(volcanic island and coral island),sand island and tectonic melange complex island.ClassificationTectonic or depositionType of islands(example)EndogenicsystemContinental terraceCoastal continental island(Newfoundland Is.)Swell symon continental I.(Taiwan Is.)Continental volcanic I.(Weizhou Is.)Island arc edgeoceanic basinIsland arc continental island(Sumatera Is.)Island arc volcanic island(Kraktau volcano Is.)Subducting accretion island(Mentawai Is.Andaman Is.)Ocean basin micro continental blockAseismic ridges volcanic island(Hawaii Is.Line Is.)Microplate islands(Greenland Is.)Oceanic volcanic island(Loyalty Is.)Mid-oceanic ridgeMid-oceanic ridge volcanic island(Iceland Is.Easter Is.)Structure fault island(Revillagigedo Is.)Exogenetic force-geomorphic system islandMud-sand depositionEstuary sand island(Chongming Is.)barrer island(Caofeidian Is.)erosion sand island(Dongsha Is.)Biology depositionCoral island(Maldives Is.)
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".