The historical development of “Kurobokudo” layer : Preliminary discussion from the perspective of man-made ecosystems
Bibliographic record
Abstract
黒ボク土層はテフラ物質を主体とした無機質素材を母材として,湿潤かつ冷温・温暖な気候と草原的植生下で生成してきた土壌である.酸素同位体ステージ(MIS)3以降の黒ボク土層の生成史には人為生態系の観点から2つの画期が認められる.最初の画期(黒ボク土層画期I)はMIS 3後半,後期旧石器時代初頭における“突発的な遺跡の増加期”に連動し,後の画期(黒ボク土層画期II)はMIS1初頭の急激な湿潤温暖化により人類活動が活性化した縄文時代の始まりと連動する.いずれの画期も草原的植生の出現拡大にヒトが深く関わったと考えられるので,黒ボク土層は人為生態系のもとで分布を拡大してきたといえる.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".