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Record W2745682397 · doi:10.25120/qar.20.2017.3588

Short-term late Holocene dry season occupation and sandy-mud flat focused foraging at Murdumurdu, Bentinck Island, Gulf of Carpentaria

2017· article· en· W2745682397 on OpenAlexaff
Robin W. Twaddle, Craig R. Sloss, Kelsey M. Lowe, Patrick Moss, Lydia Mackenzie, Sean Ulm

Bibliographic record

VenueQueensland Archaeological Research · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsHeritage College
FundersAustralian Research Council
KeywordsMiddenRadiocarbon datingCarpentariaHoloceneArchaeologyGeologySwampδ13COceanographyPaleontologyGeographyEcologyStable isotope ratioBiology

Abstract

fetched live from OpenAlex

Archaeological survey, excavations, and analyses of the Murdumurdu shell midden on Bentinck Island, Gulf of Carpentaria are reported. Patterns of subsistence as well as the timing and periodicity of site use are investigated through quantification of cultural materials, AMS radiocarbon dating, stable isotopic analysis of Marcia hiantina shell carbonates (δ18O and δ13C), magnetic susceptibility analysis of the deposits and palaeoenvironmental reconstruction. Exploitation of shellfish focused on sandy-mud flat species (especially M. hiantina and Gafrarium pectinatum) with occupation occurring exclusively during the dry season (May-August). Radiocarbon dating reveals that the main period of occupation was short, albeit intense and occurred c.300 years ago. Initiation of occupation closely follows the establishment of freshwater conditions in the adjacent Marralda Swamp. These factors suggest that use of Murdumurdu was limited, potentially representing a single deposition event or multiple short, discrete episodes, in a landscape rich with similar archaeological deposits.

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 score0.091
Threshold uncertainty score0.181

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.081
GPT teacher head0.330
Teacher spread0.249 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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