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The pattern of Lapita settlement in Fiji

2001· article· en· W2078619570 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArchaeology in Oceania/Archæology & physical anthropology in Oceania · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
FundersAustralian Research CouncilSimon Fraser UniversityAustralian National University
KeywordsColonisationArchipelagoRadiocarbon datingBiological dispersalSettlement (finance)PrehistoryGeographyArchaeologyHiatusContinental shelfGeologyPaleontologyOceanographyDemographyColonizationPopulation

Abstract

fetched live from OpenAlex

Abstract At continental and oceanic geographic scales radiocarbon chronologies are important for calibrating the expansion of prehistoric populations, and understanding the type of dispersal process. In Fiji where the colonisation phase was relatively brief — within two standard deviations of most C14 dates — there are significant differences between Lapita sites and material culture suites. To investigate this variability three models of intra‐archipelagic dispersal are reviewed against four categories of archaeological data to examine the pattern of settlement in the scattered Fiji Islands. Initial colonisation was probably restricted to west Fiji and may represent an inter‐archipelago hiatus in Lapita expansion eastward. East Fiji was settled later during a second phase of systematic colonisation that centered on Lakeba and took in the small non‐continental islands of the Lau Group.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.019
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.331
Teacher spread0.315 · 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