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Record W2121087457 · doi:10.1002/jqs.2817

Stable isotope evidence of late MIS 3 to middle Holocene palaeoenvironments from Sehonghong Rockshelter, eastern Lesotho

2015· article· en· W2121087457 on OpenAlexaff
Emma Loftus, Brian A. Stewart, Genevieve Dewar, Julia A. Lee‐Thorp

Bibliographic record

VenueJournal of Quaternary Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersUniversity of Oxford
KeywordsRadiocarbon datingGeologyHoloceneChronologyHolocene climatic optimumPaleoclimatologyGlacial periodPaleontologyAccelerator mass spectrometryPhysical geographyGeochronologySedimentary rockPleistoceneClimate changeOceanographyGeography

Abstract

fetched live from OpenAlex

ABSTRACT Evidence for human occupation of southern Africa's high‐altitude Maloti–Drakensberg Mountains is surprisingly common in the last glacial, yet the attraction of this relatively severe, cold region for hunter‐foragers remains unclear. Sehonghong Rockshelter (1870 m asl), in the eastern Lesotho Highlands, provides evidence for human occupation spanning Marine Isotope Stage 3 through the late Holocene. Excellent organic preservation provides opportunities for establishing multiple palaeoenvironmental proxy records to address this conundrum. In high‐altitude zones, the proportions of C3 and C4 plants archived in soil organic matter and faunal enamel provide sensitive indicators of past temperature shifts. We first extended the radiocarbon chronology to ca. 35 ka using ABOx‐SC radiocarbon dates of charcoals. Next we analysed stable isotopes in soil organic matter from the sedimentary sequence, and in faunal tooth enamel from the newly dated lower strata. The results suggest, predictably, that C3 vegetation and low temperatures prevailed until early warming at ca. 15 ka, with a series of sharp shifts thereafter. Low values for δ13C and δ18O in faunal enamel ca. 33 ka suggest a negative temperature excursion at this time, and potentially greater precipitation as snowfall in the highlands compared with lower altitudes.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.331
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations35
Published2015
Admission routes1
Has abstractyes

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