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Record W4311325419 · doi:10.1177/14696053221138580

The politics and historicity of megalithic places in early South India

2022· article· en· W4311325419 on OpenAlexafffund
Andrew M. Bauer, Peter Johansen

Bibliographic record

VenueJournal of Social Archaeology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Illinois at Urbana-ChampaignMcGill UniversityStanford UniversityNational Science Foundation
KeywordsMegalithPoliticsMemorializationMateriality (auditing)Historicity (philosophy)HistorySociologyArchaeologyPrehistoryMaterialismSocial stratificationAnthropologyEthnologyAestheticsSocial sciencePolitical scienceLawArt

Abstract

fetched live from OpenAlex

This paper considers the intersections of memorialization practices and politics throughout a period of emergent social differentiation during the Neolithic and Iron Age periods in the Deccan region of southern India. Rather than focus on how mortuary architecture and grave assemblages might correlate with the status, rank, or class of the deceased individuals—as has often been suggested—we place emphasis on how mortuary practices and the production of megalithic places contributed to the establishment and maintenance of social collectives among living communities. More specifically, we identify at least two modes of political practice associated with megalithic production in prehistoric South India: one related to the constitution of collectives of labor and shared consumption activities involved in the process of making monuments; and a second related to the material legacy of monuments in constituting cultural and historical places of social affiliation. In making these arguments about the social significance of megalithic places, we also critically consider new materialist and posthumanist theoretical frameworks in archaeology.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.007
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.024
GPT teacher head0.299
Teacher spread0.275 · 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 designQualitative
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

Citations3
Published2022
Admission routes2
Has abstractyes

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