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Record W3012105492 · doi:10.18778/0208-6034.34.14

‘Historical Craft from the Artisan’s Point of View’. Analysis of the Results of the Survey Conducted Among Craftsmen Specialising in Historical Reconstruction

2019· article· en· W3012105492 on OpenAlexaboutno aff
Katarzyna Badowska

Bibliographic record

VenueActa Universitatis Lodziensis Folia Archaeologica · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCraftPotteryPeriod (music)Perspective (graphical)Order (exchange)EthnographyHistoryHistorical archaeologyWork (physics)Quarter (Canadian coin)Point (geometry)Subject (documents)ArchaeologyVisual artsEngineeringArtAestheticsLibrary scienceComputer scienceMathematics

Abstract

fetched live from OpenAlex

The paper presents the results of the survey carried out by the authors of this paper, the subject of which was experimental archaeology. We asked a group of artisans that deal with historical reconstruction a set of questions about the difficulties they encounter during their reconstruction work. What is their biggest problem? Where do the craftsmen derive information about the ancient technology from? How are their products received by recipients? The chronological framework of the reconstruction industry was narrowed down to one historical period (the time of the Przeworsk culture, that is the Pre-Roman Iron Age, the Roman Iron Age and Migration Period). This clearly showed some connections between a small group of craftsmen using ancient methods in their work and the academic world, and how important it is to acquire historical and archaeological knowledge and to find ethnographic inspirations in order to solve the problems of craft techniques. The survey covered artisans practising various crafts, from metalwork to pottery, which added a broader perspective to the issues studied.

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)0.001
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 score0.084
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.036
GPT teacher head0.212
Teacher spread0.176 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueActa Universitatis Lodziensis Folia ArchaeologicaSame topicAncient and Medieval Archaeology StudiesFrench-language works237,207