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Record W2884172521 · doi:10.25120/qar.21.2018.3649

Deliberate selection of rocks in the construction of the Gummingurru Stone Arrangement Site Complex, Darling Downs, Queensland

2018· article· en· W2884172521 on OpenAlex
Elena Piotto, Anne Ross, Cassandra Perryman, Sean Ulm

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

VenueQueensland Archaeological Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsHeritage College
FundersAustralian Institute of Aboriginal and Torres Strait Islander Studies
KeywordsArchaeologySelection (genetic algorithm)Site selectionStatistical analysisRock artGeographyHistoryLawComputer scienceArtificial intelligenceStatisticsMathematicsPolitical science

Abstract

fetched live from OpenAlex

This paper uses statistical analyses to examine the hypothesis that the creators of the Gummingurru Stone Arrangement Site Complex, southeast Queensland, deliberately selected rocks, based on size and shape, for the production of motifs at the site. As Gummingurru is an Aboriginal site, the literature that frames the research concerns Aboriginal cultural Law and worldviews. However, because the data are archaeological measurements, quantitative statistical methods are also employed. These quantitative results demonstrate deliberate selection of rocks occurred in the construction of four of the motifs at Gummingurru. We conclude that there are archaeological signatures of human behaviour in response to the requirements of cultural Laws with respect to the choice of raw materials, at least in stone arrangement sites.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.385
Teacher spread0.294 · 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