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Record W2826434061 · doi:10.5604/01.3001.0010.1872

Plant remains from Jiyeh/Porphyreon, Lebanon (seasons 2009–2014): preliminary results of archaeobotanical analysis and implications for future research

2017· article· en· W2826434061 on OpenAlexaboutno aff
Monika Badura, Ewelina Rzeźnicka, Urszula Wicenciak, Tomasz Waliszewski

Bibliographic record

VenuePolish Archaeology in the Mediterranean · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyExcavationPaleoethnobotanyMediterranean climateBronze AgeGeographyIron AgeSettlement (finance)Natural (archaeology)Ancient historyQuarter (Canadian coin)HistoryAgriculture

Abstract

fetched live from OpenAlex

The seaside settlement of Jiyeh in Lebanon, now identified with the ancient Porphyreon, boasts a history dating back to the Late Bronze Age and Iron Age when Phoenicia occupied part of the Levantine coast (eastern Mediterranean). Extensive archaeological excavations by a team from the Polish Centre of Mediterranean Archaeology University of Warsaw have focused on the urban residential quarter, which consists of numerous houses and buildings separated by passages, containing material that has provided important insights into the lives of its inhabitants over time. However, as archaeobotanical studies had not been conducted there before, the question of plant use remains an important and largely unknown area of research. This article presents the first botanical results from Jiyeh (seasons 2009–2014) and considers their implications for future cooperation between archaeologists and natural scientists.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.097
GPT teacher head0.338
Teacher spread0.242 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

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