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
In 1881, a writer in the Saturday Review called tattooing ‘an art without a history’. ‘No-one’, it went on, ‘has made it the business of his life to study the development of tattooing.’\nUntil now.\n\nPainted People is a beguiling and intimate look at an untold history of humanity.\n\nThe earliest tattoos yet identified belonged to Ötzi, the ‘iceman’, whose mummy allows us a brief glimpse into the prehistory of the practice. We know that over the more than five thousand years since he was tattooed, countless cultures have performed this ancient practice, and people in every corner of the world have been tattooed. For the most part, these fascinating histories remain stubbornly untold, and the secrets of Siberian princesses, Chinese generals and Victorian socialites have been hidden on the skin, under layers of clothing and under layers of history. Now with access to a wealth of new and unreported material, this book will roll up its sleeves and reveal the artwork hidden beneath them.\n\nIn Painted People, Dr Matt Lodder, one of the world’s foremost experts on tattooing, tells the stories of people like Arnaq, who was tattooed in keeping with her cultural and religious traditions in sixteenth-century Canada, and Horace Ridler, who was tattooed as a means to make money in 1930s London. And in between these two extremes, he describes tattoos inked for love, for loyalty, for sedition and espionage and for self-expression, as well as tattoos inflicted on the unwilling, to ostracise. Taken together, these twenty-one tattoos paint a portrait of humanity as both artist and canvas.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.070 | 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