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Record W4246731933 · doi:10.1360/n072018-00035

两万年来的中国多年冻土形成演化

2018· article· zh· W4246731933 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSCIENTIA SINICA Terrae · 2018
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsUniversity of Calgary
FundersChinese Academy of SciencesRussian Foundation for Basic ResearchNational Natural Science Foundation of China
KeywordsPolitical science

Abstract

fetched live from OpenAlex

利用大量的古多年冻土遗迹和古冰缘现象, 并佐以古冰川、孢粉及动物化石等资料, 重建了20ka以来中国多年冻土演化进程. 结果表明, 在末次冰期最盛期(LGM, 或末次多年冻土最大期LPMax), 中国多年冻土面积达到了5.3<x content-type="symbol">´</x>10<sup>6</sup><x content-type="symbol">~</x>5.4<x content-type="symbol">´</x>10<sup>6</sup>km<sup>2</sup>(现今中国多年冻土面积的3倍多), 而全新世大暖期(HMP, 或末次多年冻土最小期LPMin), 中国多年冻土面积曾缩减至0.80<x content-type="symbol">´</x>10<sup>6</sup><x content-type="symbol">~</x>0.85<x content-type="symbol">´</x>10<sup>6</sup>km<sup>2</sup>(约为现今中国多年冻土面积的50%). 按照古冻土遗迹的年代及分布等特征, 在确定LGM和HMP两个主要时段的冻土格局基础上, 将20ka以来中国多年冻土演化进程划分为7个阶段: 晚更新世LGM(20000<x content-type="symbol">~</x>10800aBP)多年冻土强烈扩展, 达到LPMax; 早全新世气候剧变期(10800至8500~7000aBP)多年冻土较稳定但相对缩减阶段; 中全新世HMP(8500~7000至4000~3000aBP)多年冻土强烈退化阶段, 多年冻土缩减到LPMin; 晚全新世新冰期(4000~3000至1000aBP)冻土扩展阶段; 晚全新世中世纪暖期(1000<x content-type="symbol">~</x>500aBP)多年冻土相对退化阶段; 晚全新世小冰期(LIA, 500<x content-type="symbol">~</x>100aBP)冻土相对扩展阶段, 以及近代升温期(近百年来)多年冻土持续退化阶段. 本文重建了各时段内古气候、古地理环境以及多年冻土分布范围和其他特征.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.004

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.

Opus teacher head0.017
GPT teacher head0.250
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it