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Record W2605271400 · doi:10.1017/aap.2017.4

The Role of Magnetometry in Managing Arctic Archaeological Sites in the Face of Climate Change

2017· article· en· W2605271400 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAdvances in Archaeological Practice · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorParks Canada
KeywordsPermafrostArcticClimate changeArchaeologyThe arcticGlacial periodPhysical geographyGeologyGeographyEarth scienceOceanographyGeomorphology

Abstract

fetched live from OpenAlex

ABSTRACT Climate change is impacting archaeological sites around the globe, and Arctic sites are among the most vulnerable because the region is experiencing particularly rapid change. In the face of this threat, archaeologists, heritage managers, and northern communities need to develop strategies for documenting and monitoring Arctic sites and prioritizing them for further investigation. Using three case studies from Banks Island in the western Canadian Arctic, we demonstrate how magnetometer survey could assist in this process, despite the region's poorly developed soils, widespread glacial tills, and periglacial geomorphology, which pose challenges for the technique. The case studies illustrate the utility of magnetometry in mapping both archaeological and permafrost features in the Arctic, allowing it to rapidly investigate site structure and assess the level of threat due to climate change.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.098
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.048
GPT teacher head0.328
Teacher spread0.280 · 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