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Record W2386636527

Study on Technological Process of the Shell Ornaments Discovered from the Shizitan Palaeolithic Site

2011· article· en· W2386636527 on OpenAlexaff
Yanhua Song, Shi Jinming, Shen Chen

Bibliographic record

VenueActa Anthropologica Sinica · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsOrnamentsShell (structure)FlakePeriod (music)DrillingGeologyPerforationArchaeologyGeographyEngineeringMaterials scienceArtMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper reports a preliminary study on technological process of making shell ornaments that were discovered from Shizitan,a microblade-industry Palaeolithic site complex in southwestern Shanxi,dated to 25000-10000 BP.Five finished shell ornaments and 3 by-products were identified from cultural layers at different locations of the sites.Based on perforating techniques,these shell ornaments are classified into drilled-perforation type and grounding-peroration type.Subsequently three methods of manufacturing processes are identified.The perforations seem to be larger in earlier period than in later period,reflecting the plausible changes of drilling techniques and possible different function over time.Also changes in morphological shapes of shell artifacts from flaked edges to polished edges were possibly in coincidence with changes in use of drilling tools that were employed by flaked tools in the early period and by microblade tools in the late period,possibly suggesting a specialization of ornament production.

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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.283
Teacher spread0.206 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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