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Record W6911309702 · doi:10.5281/zenodo.11190118

Long-term resilience of cultivation systems in Tigrai (Ethiopia): an integrated approach combining archaeobotany, ethnoarchaeology and ecological modelling

2023· dissertation· en· W6911309702 on OpenAlexfundno aff

Bibliographic record

VenueTesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · 2023
Typedissertation
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research CouncilErasmus+European Commission
KeywordsPaleoethnobotanyContext (archaeology)EthnoarchaeologyIndigenousVegetation (pathology)Psychological resilienceEcological systems theory

Abstract

fetched live from OpenAlex

This repository contains the PhD thesis entitled: "Long-term resilience of cultivation systems in Tigrai (Ethiopia): an integrated approach combining archaeobotany, ethnoarchaeology and ecological modelling". The present dissertation is proposed as a thesis by articles, which are included throughout the text as specific sections of the dissertation in order to articulate and organise them within the broader context of the thesis. The publications include: Ruiz-Giralt, A., Beldados, A. 2024. The development of agricultural systems in the Ethiopian highlands (NE Africa): a review of the archaeobotanical evidence. Azania: Archaeological Research in Africa. https://doi.org/10.1080/0067270X.2024.2316518 D’Andrea, C., Welton, L., Manzo, A., Woldekiros, H., Brandt, S., Beldados, A., Peterson, E., Nixon-Darcus, L., Gaudiello, M., Wood, S. Mekonnen, H., Batiuk, S., Meresa, Y., Ruiz-Giralt, A., Lancelotti, C. Mengistu, A., Johnson, L. 2023. The Pre-Aksumite Period: Indigenous Origins and Development in the Horn of Africa. Azania: Archaeological Research in Africa 58(3): 329-392. https://doi.org/10.1080/0067270X.2023.2236484 Ruiz-Giralt, A., Bouchaud, C., Salavert, A., D’Andrea, C., Lancelotti, C. 2021. Human-Woodland interactions during the Pre-Aksumite and Aksumite periods in NE Tigray, Ethiopia: insights from the wood charcoal analyses of Mezber and Ona Adi. Vegetation History and Archaeobotany 30: 713–728. https://doi.org/10.1007/s00334-021-00825-2 Ruiz-Giralt, A., Nixon-Darcus, L., D’Andrea, C., Meresa, Y., Biagetti, S., Lancelotti, C. 2024. On the verge of domestication: early use of C4 plants in the Horn of Africa. PNAS 120(27): e2300166120. https://doi.org/10.1073/pnas.2300166120 Beldados, A., Ruiz-Giralt, A., Lancelotti, C., Meresa, Y., D’Andrea C. 2023. Pre-Aksumite Plant Husbandry in the Horn of Africa. Vegetation History and Archaeobotany 32: 635–654. https://doi.org/10.1007/s00334-023-00949-7 Meresa, Y., Ruiz-Giralt, A., Beldados, A., Lancelotti, C., D’Andrea, C. 2024. Pre-Aksumite and Aksumite agricultural economy at Ona Adi, Tigrai (Ethiopia): first look at a 1000 year-history. African Archaeological Review. https://doi.org/10.1007/s10437-024-09574-9 Biagetti, S., Ruiz-Giralt, A., Madella, M., Khalid Magroub, M., Meresa, Y., Haile Gebreselassie, M., Vesaar, G.M., Alam Abro, T., Chandio, A., Lancelotti, C. 2022. No rain no grain? Ethnoarchaeology of sorghum and millets cultivation in drylands. Ethnoarchaeology 13(1-2): 80–104. https://doi.org/10.1080/19442890.2022.2059994 Beldados, A., Ruiz-Giralt, A. 2023. Burning questions: experiments on the effects of charring on domestic and wild sorghum. Journal of Archaeological Science: Reports 51: 104170. https://doi.org/10.1016/j.jasrep.2023.104170 Ruiz-Giralt, A., Biagetti, S., Madella, M., Lancelotti, C. 2023. Small-scale farming in drylands: new models for resilient practices of millet and sorghum cultivation. PLOS ONE 18(2): e0268120. https://doi.org/10.1371/journal.pone.0268120 Ruiz-Giralt, A., Beldados, A., Biagetti, S., D’Agostini, F., D’Andrea, C., Meresa, Y., Lancelotti, C. 2023. Sorghum and finger millet cultivation during the Aksumite period: insights from ethnoarchaeological modelling and microbotanical analysis. Journal of Computer Applications in Archaeology 6(1): 96-116. https://doi.org/10.5334/jcaa.132 Supplementary materials are available at https://doi.org/10.5281/zenodo.8407589.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.333
Teacher spread0.285 · 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.

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
Published2023
Admission routes1
Has abstractyes

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