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Enregistrement W4309065664 · doi:10.17234/diss.2022.137412

Proizvodnja željeza u kasnoj antici i ranome srednjem vijeku u Podravini – tehnološki aspekti i društveni kontekst

2022· dissertation· en· W4309065664 sur OpenAlexaboutno aff
Tena Karavidović

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueMetallurgy and Cultural Artifacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)ArchaeologySettlement (finance)Geography

Résumé

récupéré en direct d'OpenAlex

Previous archaeological investigations in present-day Gornja Podravina have created prerequisites for the study of the wider context of iron production in the period of Late Antiquity and the Early Middle Ages. The relevant factors of the current state of research are 1) a series of known positions defined based on field surveys with traces of various activities related to iron production, 2) several positions where archaeological excavations were carried out with a pronounced character of iron production - workshops and spatially close and simultaneous settlement sites, 3) high intensity of occurrence of indicative sites in a geomorphologically unique area. During several research campaigns, from 2008 to 2019, led by Ph.D. Tajana Sekelj Ivančan (Institute of Archaeology), sites that can be linked to iron production were investigated and dated by the radiocarbon method to the 4th/5th century (Virje – Sušine), over the 5th/6th century (Virje – Volarski breg) and the end of the 6th and 7th century (Hlebine – Velike Hlebine, Hlebine – Dedanovice, Virje Sušine), end of the 7th and 8 th centuries (Virje Sušine) and until into the 8th and the beginning of the 9th century (Virje – Volarski breg, Kalinovac – Hrastova greda). At these locations, several tons of waste were collected as a result of the direct reduction process (iron bloom production) and post-reduction processing (primary and/or secondary smithing). More intensive, interdisciplinary research has followed since 2017, through the project "Iron production along the Drava River in antiquity and the Middle Ages: creation and transfer of knowledge, technology and goods" (IP–06– 2016–5047), led by Ph.D. Tajana Sekelj Ivančan, funded by Croatian Science Foundation. As part of the project, an extensive field survey and reambulation of the area of Gornja Podravina identified locations (about 160) where metallurgical waste was collected on the surface (Valent et al. 2018; 2019; 2022) resulting from the production and/or processing of bloomery iron. Surface–collected waste testifies to the high intensity and existence of different, interconnected metallurgical activities in this region. Previous publications of the investigated sites (Sekelj Ivančan 2009; 2010; 2011; 2013; 2014a; 2014b; 2016; 2018; 2019; Sekelj Ivančan and Valent 2017; Sekelj Ivančan and Tkalčec 2018) emphasized the workshop and production character. All sites in the observed area are located within a geomorphologically relatively homogeneous area, the lowland area of the Drava River upper basin, today's Podravina region, NW Croatia. The lowland area of the wider region connected to the river Drava (Podravina in Croatia, Somogy district, Republic of Hungary) is suitable for the formation of bog iron ores (Sekelj Ivančan and Marković 2017; Brenko et al. 2019; 2020; 2022; Kercsmár and Thiele 2015), the basic natural resource needed for the production iron. Samples of bog iron ore were found in the archaeological context at the mentioned sites (Karavidović 2020), but also at medieval sites dating from the 7th to the 9th century in the territory of today's Hungary (Gömori 2000a; 2000b), and they testify to the exploitation and use of local natural resources in the Podravina region (Brenko et al. 2021; 2022) as well as within the wider geographical area in the period of Late Antiquity and the Early Middle Ages. The term iron production in the context of the doctoral thesis refers to the entire production process, from the raw material to the final product, and includes research on exploitation strategies of natural resources (primarily ore as well as wood and clay), processing of raw materials (ore refining, charcoal production), smelting process (direct smelting of iron ore) and primary and/or secondary smithing. The technological aspects of iron production are defined based on an interdisciplinary approach that includes several levels of data collection, processing, and analysis: macroscopic analysis of relevant archaeological material (slag, ore), analysis of the chemical composition and mineral phases of selected samples, targeted design, performance and analysis of the results of archaeological experiments. The archaeological finds that form the backbone of the research come from research conducted at the sites Virje – Volarski breg (S 1, 2, 3), Virje – Sušine (S 5, 7, 8), Hlebine–Velike Hlebine (S 1 and 2), Hlebine – Dedanovice (S 1 – 4). The finds are kept in the Koprivnica City Museum. It is a total amount of several tons, under several basic groups of finds: technical ceramics (clay furnace walls and tuyeres), technological waste generated during the production of iron blooms and further processing procedures (smelting and primary smithing, welding), (semi)products (shards iron blooms) and resources (bog iron ore). In addition to the basic categorization, based on macroscopic analysis, the findings are further divided based on specific diagnostic characteristics depending on the type of finds to observe changes, similarities or differences in production technology, and source of raw materials from 4/5 – 8/9 centuries. The categorization is used in intra-site spatial analysis of distribution, to analyze the spatial organization of the closed archaeological contexts, workshops for iron production. For a better understanding of all iron processing procedures, experiments were conducted by scientific standards (Kettleborn 1987: 11–12), which include distinctly set goals and research questions, measurability, repeatability, and a satisfactory level of stakeholder experience. The experiments were designed to reconstruct and understand procedures related to the preparation and selection of raw materials, testing variations of conceptual reconstructions of smelting furnaces and smithing installations and variations in smelting/smithing procedures established based on macroscopic analysis, and how the resulting waste and record can be compared with archaeological findings and record. By comparing the results of macroscopic analysis and experimental testing, conclusions were drawn about the type and character of applied procedures and technological solutions (type and construction of smelting/smithing furnaces, type of procedures, course of procedures) and the interpretation of individual structures investigated at the observed sites was strengthened. During the experiments, the consumption of natural resources (raw materials-ore, charcoal), as well as the consumption of time and human resources were recorded, and a model was established to estimate the ratio of the consumption of all resources of basic raw materials and other resources against the quantity of the output, final product (iron bloom, consolidated and purified iron semi-products). Through quantitative analysis of different categories of waste related to the production process and comparison with the results of experiments, conclusions were drawn about the amount of iron produced, the volume of production, the intensity, rhythm, and level of use of the workshops. The laboratory analyses were performed for a more detailed classification of the selected samples, analysis of the characteristics of the raw materials used, generated waste, and the final product, and to determine the similarities and differences of the production process present in the context of the observed sites. They include mineralogical (XRD) and chemical analysis (ICP–MS, AES) of selected samples of raw materials (ore) and technological waste (slag) from different stages of iron production. The ore and slag samples were crushed to a powder fraction and their mineral composition was determined using X-ray powder diffraction (XRD). A Phillips vertical goniometer (type X'Pert) equipped with a copper tube and a graphite monochromator was used to determine the mineral composition. During the measurement, a voltage of 40 kV and a current of 35 mA with a step size of 0.02° 2θ were used. The analyzes were performed at the Faculty of Mining, Geology and Petroleum, University of Zagreb. Chemical analyzes were performed at MSALabs (Langley, Canada) using inductively coupled plasma atomic emission spectrometry (ICP-AES) after melting the samples with lithium borate. The proportions of less abundant elements were determined by inductively coupled plasma mass spectrometry (ICP-MS). The fractions of inorganic (TIC) and organic carbon (TOC) were determined by induction, while the loss of mass on heating (LOI) was determined at 1000 °C. The selection of samples is based on the macroscopic classification of finds (type of find) and technological interpretation (type and characteristics of the process of creation) as well as spatial (location of the site), temporal (absolute dating of the site) and contextual (archaeological record) properties of the find. The results were analyzed using chemometric methods, mainly multivariate statistical analysis of data groups. This approach enables detailed characterization and analysis of samples (Pollard et. al. 2006; Charlton et. al. 2010; 2012). The social context of iron production is analyzed through the organization of the production process (levels and types of activities related to workshop and settlement areas, areas of exploitation of raw materials, and the organization of the workspace) and the relationship between settlements and workshops (structure and location). This segment of the research involves the creation of a spatial database (using GIS software) of indicative sites (defined by field survey and archaeological research), geological, pedological, and geomorphological data of the investigated area of Podravina region as well as a database of qualitative and quantitative data on archaeological finds within sites, used for multi-level spatial analysis. The individual researched workshops are viewed as closed units and based on the spatial analysis of the distribution of finds and the archaeological record, conclusions were drawn

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,830
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0820,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,338
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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