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Record W4317705303

Hunting for Use-Wear

2020· article· en· W4317705303 on OpenAlexaboutno aff
Matilda Siebrecht, Diederik Pomstra

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessComputer scienceGeology
DOInot available

Abstract

fetched live from OpenAlex

Investigating use-wear traces on antler and bone harpoon heads from the Dorset cultures using experimental archaeology. Harpoons are an essential part of the hunting toolkit amongst Inuit and have been integral to the material culture assemblage of Arctic groups for thousands of years. The pre-Inuit population known as the Dorset cultures (app. 800 BC–1300 AD) - also sometimes referred to as Tuniit - were highly dependent on a maritime subsistence with harpoon heads as one of the dominant artefact categories at Dorset sites. Although the use of these harpoons is known from historic ethnographic reports observing Inuit hunting techniques and comparison with modern harpoon styles, a preliminary study by Siebrecht suggests there is little evidence of this use found on the surface of archaeological harpoon heads in terms as microscopic use-wear. This contrasts with other studies investigating bone projectiles, which did identify traces of use after experimentation with replica objects. The present study therefore aims to investigate this disparity using several replica harpoon heads made of bone and antler to experimentally harpoon a seal carcass to determine the extent to which use-wear is formed when harpooning a marine mammal.

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.000

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 head0.553
GPT teacher head0.536
Teacher spread0.017 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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