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Record W1995660665 · doi:10.1353/asi.2004.0030

Panxian Dadong, South China: Establishing a Record of Middle Pleistocene Climatic Changes

2004· article· en· W1995660665 on OpenAlexfundno aff
Wei Wang, Jun Liu, Ya‐Mei Hou, Xinqiang Si, Weiwen Huang, Lynne A. Schepartz, Sari Miller‐Antonio

Bibliographic record

VenueAsian perspectives · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersMcMaster UniversityLouisiana State UniversityNational Science Foundation
KeywordsPleistoceneChinaArchaeologyGeographyGeologyPhysical geographyPaleontology

Abstract

fetched live from OpenAlex

Broad-based reconstructions of the Middle Pleistocene Asian environment are valuable sources of information that can augment our understanding of prehistoric human adaptations and expansion into East Asia. The sediments, speleothems, and geochronology of Panxian Dadong Cave serve as an example of the possible integration of this broader paleoenvironmental information with more fine-grained archaeological data. The current U-series and ESR dating results for Dadong suggest that the early human activity in the cave began at least 260 kya and continued until around 142 kya. This period correlates with Oxygen Isotope Stages 7 through 6. The lower part of the breccia (Layer 2) contains very strongly weathered dark deposits, suggesting a relatively warm climatic period from 260–180 kya that corresponds to OIS 7, followed by a cooler phase with less speleothem formation corresponding to OIS 6. The Middle Pleistocene stratigraphic sequence in the Dadong cave deposits documents fluctuating and rapid changes in temperature and humidity that are also detected in general Asian, as well as South China, paleoclimatic studies based on diverse data ranging from microstratigraphic and geochemical sediment analyses to mollusk species representation.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.236
Teacher spread0.213 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2004
Admission routes1
Has abstractyes

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