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Record W2160382923 · doi:10.5334/aa.12319

The Discovery and Excavation of a Human Burial from the Mini-athiliya Shell Midden in Southern Sri Lanka

2014· article· en· W2160382923 on OpenAlexaff
Samanti Kulatilake, Nimal Perera, Siran Deraniyagala, Jude Perera

Bibliographic record

VenueAncient Asia · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMiddenExcavationSri lankaArchaeologyHoloceneShell (structure)GeologyGeographyHistoryAncient historyEngineering

Abstract

fetched live from OpenAlex

Several shell middens of coastal Sri Lanka indicate human occupation in the mid-Holocene and are recognized as being of prime importance in the archaeological narrative of the island. A salvage archaeology operation conducted at the Mini-athiliya shell midden in the Southern Province of Sri Lanka, yielded ancient human remains associated with stone implements and culturally modified faunal remains. The main objective of this rescue operation was to mitigate the destruction to this archaeological site. We report the excavation strategy and dating of this mid-Holocene shell midden, while focusing on the discovery and extraction of a complete human burial that had not been disturbed by the shell mining activity at the site. This excavation is intended to serve as a precursor to systematic investigation of the coastal shell middens of southern Sri Lanka.

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 score0.013
Threshold uncertainty score0.026

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 studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.002
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 head0.020
GPT teacher head0.233
Teacher spread0.214 · 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

Citations18
Published2014
Admission routes1
Has abstractyes

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