MétaCan
Menu
Back to cohort
Record W4389579876 · doi:10.1017/9781009319188

Long-Distance Exchange and Inter-Regional Economies

2023· book· en· W4389579876 on OpenAlexaff
Sarah C. Murray

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeographyArchipelagoEconomic geographyGeospatial analysisMediterranean climateBronze AgeElement (criminal law)Geographical distanceGeologyEconomyCartographyArchaeologyPolitical scienceEconomicsSociologyDemographyPopulation

Abstract

fetched live from OpenAlex

An undulating flow of multi-scalar exchanges pulsed across the surface of Aegean from the beginnings of the Bronze Age in the third millennium to the transition into the Iron Age nearly two thousand years later. Such exchanges were variable in nature. Most probably occurred within a rather circumscribed environment, involving neighboring communities operating across the many real but traversable geographical boundaries that characterize the Aegean landscape – ridges separating mountain plateaus, rocky coastal stretches between bays, or narrow straits amidst archipelagos. This Element is focused on the less-frequent but important long-distance exchanges that connected people in the Aegean with the wider Mediterranean and European world, especially focusing on interactions that may be classified as 'economic'. After reviewing basic definitions and discussing some methods and materials available for studying long-distance exchange, this Element presents a diachronic assessment of the geospatial, scalar, and structural characteristics of long-distance exchange and inter-regional economies.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.175
Teacher spread0.153 · 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
GenreOther

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

Citations7
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicArchaeology and ancient environmental studiesFrench-language works237,207