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Record W3158730643 · doi:10.1080/00934690.2021.1909279

The Emergence and Transmission of Metallurgical Technology for Subsistence Activities in Daily Life in Northern Europe: A Microscopic Zooarchaeological Perspective

2021· article· en· W3158730643 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.

Bibliographic record

VenueJournal of Field Archaeology · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSubsistence agriculturePrehistoryBronze AgeArchaeologyGeographyBronzeGeologyAgriculture

Abstract

fetched live from OpenAlex

The origin of metallurgy is usually monitored via the appearance and frequency of various types of metal items. Quantifying the distribution of metal versus stone tool types over time and space can provide insight into the processes underlying the introduction and diffusion of a functional metallurgical technology for subsistence activities, but is a very limited approach. By quantifying the relative frequency of metal versus stone tool slicing cut marks in butchered animal bone assemblages, it becomes possible to identify and map the introduction and spread of metallurgy into and across a region. Prehistoric data from central Poland (from the Early Neolithic, ca. 5400 b.c., through the Early Iron Age, ca. 450 b.c.) are used to calculate the frequency of use and relative importance of stone and metal implements over time. The results clearly demonstrate that metal tools are adopted slowly throughout the entire length of the Bronze Age and that the advent of the Bronze Age did not entail the wholesale disappearance of lithics for butchering animals.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.025
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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