Inking of Immunity Episode 13. What are the ethics of studying tattoos? with Lars Krutak
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lars Krutak (PhD) is an American anthropologist, photographer, curator, and writer known for his research about Indigenous tattoo and its cultural background. He hosted and produced the 10-part documentary series Tattoo Hunter on the Discovery Channel and is a Research Associate at the Museum of International Folk Art (Santa Fe, New Mexico, USA). Krutak is the author of more than 90 articles for scientific journals and popular magazines on the subject of tattooing. His books include (2014) Tattoo Traditions of Native North America, (2012) Magical Tattoos and Scarification, (2010) Kalinga Tattoo focusing on Indigenous tattooing culture in the northern Philippines, and (2007) The Tattooing Arts of Tribal Women. Krutak also served as the senior editor for (2018) Ancient Ink: The Archaeology of Tattooing, the first book dedicated to the archaeological study of tattooing. Krutak has conducted tattoo research with 50+ Indigenous societies in 25 countries. His photography has appeared in exhibitions at the Weltkulturen Museum (Frankfurt), Museum of Modern Art (New York City), Pushkin State Museum of Fine Arts (Moscow), Musée du quai Branly – Jacques Chirac (Paris), Royal Ontario Museum (Toronto), among other institutions.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it