MétaCan
Menu
Back to cohort
Record W6980842154

Cremation burials in early Bronze Age Malta : evidence from Tarxien and Ggantija

2011· article· en· W6980842154 on OpenAlexaboutno aff

Bibliographic record

VenueOAR@UM (University of Malta) · 2011
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBronze AgeMaltesePrehistoryArchaeological evidenceAccidentalStone AgeBronzeQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

A common way of disposing of the dead
\nacross the entire Mediterranean (and even
\nbeyond) from prehistoric down to late Roman
\ntimes was to bury the corpse - or the burnt
\nremains, if cremated - in a built chamber or
\nin a floor cavity and then cover it up under
\na mound of stones and/or earth, usually
\nencircled by a kerb or retaining stone wall.
\nSizes varied and larger ones might even
\nhave a passage providing access to the burial
\nchamber. In many cases, these burial mounds
\nor tumuli used to be circular, having an overall
\nappearance of a cone, hut, or hill.
\nIt is worth investigating whether the
\nresemblance of burial mounds to huts was
\nintentional or merely accidental (something
\nwhich I do not intend to do in this contribution).
\nIf it was intentional, was it meant to convey
\nan idea of the tomb as a house of the dead? In this contribution, I shall be dealing
\nwith cremation burials on the Maltese islands
\nin the early Bronze Age (Tarxien Cemetery
\nphase: 2400-1500 B.C.), focusing, towards
\nthe end, on a type of clay figurine associated
\n- as yet, exclusively - with this early Bronze
\nAge practice. Some new interpretations
\nare attempted in respect of both the burials themselves as well as the mentioned
\nfigurines. To this end, I shall be resorting
\nto evidence from two temple sites: those at
\nTarxien and Ggantija, with the richer corpus
\nof evidence coming from the former. To begin
\nwith, I derive insights for my interpretations
\nby initially resorting to the earliest literary
\nevidence we have and which concerns the
\nAegean region where it comes from. But I also
\ndraw on comparisons with some other sites
\nand/or materials outside the Maltese islands. It
\nis mainly this comparative approach that, for
\nthe greater part, provides the backbone of my
\narguments.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.055
GPT teacher head0.225
Teacher spread0.169 · 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueOAR@UM (University of Malta)Same topicVenous Thromboembolism Diagnosis and ManagementFrench-language works237,207