History of Tattoving: The Postmodern Era Meets Archism. Culture of "Modern Primitives"
Bibliographic record
Abstract
History of Tattooing: The Postmodern Era meets Archaism. The Culture of "Modern Primitives" dr. Martin Rychlík The presented dissertation concerns tattooing as the main theme - its history, functions, techniques, media presentations, individual motivation and general human attitudes towards decorating (and mutilating) the body. The author, ethnology / social anthropology student Martin Rychlik (Department of Ethnology Charles University in Prague), provides a comprehensive overview of many aspects of tattooing - considered as an universal cultural custom, so far poorely mapped in the Czech republic. Tattooing is a very complex and archaic phenomenon that has roots in the ancient Stone Age. The first direct archaeological proof was found in 1991, in Soelden near the Austro-Italian boarder. The mummified remains of a 5300 year-old hunter/shepherd emerged from a melting glacier and got nickname "Oetzi". Other well known tattooed mummies are the Egyptian Middle kingdom priestess Hathor and the frozen Scythian chief from Pazyryk. Many "primitive" tribes worldwide have adopted tattooing as a means of expression. Among the best documented are those of the Maori, Ainu, Samoans, Dayak, Tahiti islanders, Inuit, South American Indians and nomadic Siberian groups. The first so-called renaissance of tattoo is associated...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".