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Record W2290977074 · doi:10.24043/isj.197

Island Archaeology: In Search of a New Horizon

2007· article· en· W2290977074 on OpenAlexvenueno aff
Arie Boomert, Alistair J. Bright

Bibliographic record

VenueIsland Studies Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversiteit Leiden
KeywordsArchipelagoMainlandPremiseArchaeologyIdentity (music)GeographyHorizonHistoryAnthropologySociologyEpistemologyAestheticsPhilosophy

Abstract

fetched live from OpenAlex

This paper charts the academic development of “island archaeology” from its roots in Darwinist and anthropological island studies through island biogeography to processual and post-processual archaeology. It is argued that the rarely made explicit yet fundamental premise of island archaeology that insular human societies show intrinsic characteristics essentially dissimilar from those on mainlands is false. The persistence of this misconception is due in part to the emphasis on islands as ideal units of analysis. It is suggested that island societies should be studied at the level of the archipelago and/or mainland coastal setting within their maritime cultural framework, ultimately leading up to an archaeology of maritime identity.

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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0060.007
Science and technology studies0.0060.043
Scholarly communication0.0170.058
Open science0.0030.009
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.060
GPT teacher head0.380
Teacher spread0.320 · 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 designNot applicable
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

Citations6
Published2007
Admission routes1
Has abstractyes

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