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Record W2789220838 · doi:10.70460/jpa.v9i1.231

The Field of War: LiDAR Identification of Earthwork Defences on Tongatapu Island, Kingdom of Tonga

2018· article· en· W2789220838 on OpenAlexaff
Phillip Parton, Geoffrey Clark, Christian Reepmeyer, David V. Burley

Bibliographic record

VenueJournal of Pacific Archaeology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIdentification (biology)EarthworksGeographyArchaeologyField (mathematics)HistoryCartographyEcologyBiology

Abstract

fetched live from OpenAlex

Warfare and conflict are associated with complex societies in in Polynesia where competition and coercion were common in island chiefdoms. In prehistoric Oceania, Tonga was unique for an Archaic state that under the Tu'i Tonga dynasty established control over an entire archipelago from A.D. 1200 to A.D. 1799 prior to a prolonged period of warfare. Lidar data was used to identify earthwork fortifications over the entirety of Tongatapu and to examine the conflict landscape using lidar-derived attributes in tandem with archaeological and historical information. The distribution of earthwork defences indicates a complex history of conflict and political machinations across Tongatapu beginning with the Tu’i Tonga chiefs at Lapaha, but resulting in a mid-19th century civil war ending with a new royal dynasty. Fortifications offer important evidence of social-political change, and the heritage condition of earthwork defences, many of which are under threat from development, was assessed with lidar.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.019
GPT teacher head0.329
Teacher spread0.310 · 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.

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

Citations13
Published2018
Admission routes1
Has abstractyes

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