‘Historical Craft from the Artisan’s Point of View’. Analysis of the Results of the Survey Conducted Among Craftsmen Specialising in Historical Reconstruction
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".