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Record W4310578954 · doi:10.29173/anlk655

Megalithic Cemeteries and Land Use in the Yān Oya River Basin of Sri Lanka

2022· article· en· W4310578954 on OpenAlexaboutno aff
Ranjith Bandara Dissanayake

Bibliographic record

VenueAncient Lanka · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsMegalithGeographySubsistence agricultureArchaeologyStructural basinQuarter (Canadian coin)AgricultureGeology

Abstract

fetched live from OpenAlex

Megalithism is a cultural phenomenon associated with mortuary rituals. Societies that practise megalithism construct burials and memorials using stone slabs in memory of the dead as a form of ancestor worship. Archaeological evidence shows that the remains of these cultural practices that originated during the Neolithic period, occur in various geographical zones around the globe. Across peninsular southern India and Sri Lanka megalithism is observed, reflecting the cultural identity of Early Protohistoric-Iron Age communities of South Asia and practised even today, in certain parts of India. In Sri Lanka, the Yān Oya macro region of the North Central Dry plains is a geographical region where megalithism is prevalent and visible on the landscape. Megalithic groups appear to have widely dispersed across the Yān Oya river basin from the early quarter of the 1st millennium BCE to the early quarter of the 1st millennium CE with their adaptive strategy contributing to the formation of the cultural landscape of the region. In this paper, the megalithic cultural complex in the Yān Oya macroregion is discussed using evidence from archaeological surveys and excavations, with a focus on territorial expansion, resource exploitation and land use pattern. Archaeological evidence points to a series of three patterns or phases where the megalithic community in the region developed from a nomadic or semi nomadic pastoral subsistence to a sedentary village based agro-pastoral subsistence.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.281
Teacher spread0.240 · 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 teacher head, 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

Citations1
Published2022
Admission routes1
Has abstractyes

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