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Record W4402692174 · doi:10.1017/s0068245424000042

TOWARDS AN ARCHAEOLOGY OF SUSTAINABILITY: RESOURCE PACKAGES AND LANDSCAPE MANAGEMENT IN SPHAKIA, SOUTH-WEST CRETE

2024· article· en· W4402692174 on OpenAlexfundno aff
Lucia Nixon

Bibliographic record

VenueThe Annual of the British School at Athens · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersArts and Humanities Research CouncilUniversity of OxfordQueen's UniversityBaylor University
KeywordsArchaeologySustainabilityGeographyResource (disambiguation)HistoryEnvironmental resource managementComputer scienceEcologyEnvironmental science

Abstract

fetched live from OpenAlex

Using evidence from the Sphakia Survey, a multiperiod archaeological project in south-west Crete, this article has two goals. The first is to contribute to a newly emerging field, the archaeology of sustainability. The investigation of sustainability in Sphakia uses five main kinds of evidence: environmental, archaeological/material, textual, oral, and patterns of activity that seem ‘difficult’ or ‘inconvenient’. Sphakia is a large area of highly dissected terrain with a wide altitudinal range – in many ways, a ‘tough’ landscape, where agropastoralism has been its main economy. The second goal is to introduce the concept of a Resource Package (RP), a combination of perceived resources in an area, as an analytical tool for landscape study. Evidence for identifying agropastoral RPs of various scales, used at a particular time, includes imports, such as pottery and obsidian, which can suggest exchange for a local resource or product; sacred sites; coins; texts and inscriptions; place-names and other toponyms; and maps. The concept of RPs can usefully be applied synchronically and diachronically to multiperiod projects like this, as well as more generally to other landscapes, ‘tough’ or not. Sustainable strategies (that is, maximising resources and RPs without exhausting them) were used in the Prehistoric, Graeco-Roman and Byzantine–Venetian–Turkish epochs in Sphakia; some may be relevant for the future.

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)0.001
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 score0.027
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.206
Teacher spread0.200 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

Explore more

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