Phytolith Records from Tephra-soil Sequence since the Last Interglacial in the Southern Ishikari Lowland, Hokkaido, Japan: With Special Reference to the Fluctuation of the Sasa Group (Dwarf Bamboo) in Paleo-vegetation
Bibliographic record
Abstract
北海道,石狩低地帯南部の最終間氷期以降のテフラ-土壌累積層について,特にササ類の地史的動態に注目して,植物珪酸体分析を実施した.現植物相で優勢な植物群であるササ類は,海洋酸素同位体ステージ(MIS)5eから5b前半まで,植生の主要な構成要素であった.しかし,ササ類は,MIS5b後半に帰属する阿蘇4テフラ(Aso-4)期からMIS5b/5a境界に帰属するクッタラ6テフラ(Kt-6)期にかけて衰退し,その後,最終氷期を通じてほとんど消滅した.その間,少なくともMIS5bとMIS3に亜寒帯針葉樹林の成立が見られた.MIS5bに成立した亜寒帯針葉樹林は,現在の北海道に見られる亜寒帯針葉樹林と同様にササ類を伴ったが,MIS3に成立した亜寒帯針葉樹林はササ類を伴うことはなかった.ササ類が再び主要な構成要素となる時期は完新世の開始以降である.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".