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Record W7070107933

Painted People: Humanity in 21 Tattoos

2022· book· en· W7070107933 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOpen Access at Essex (University of Essex) · 2022
Typebook
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityClothingPortraitGloryStyle (visual arts)BattleIconChinaPrehistory
DOInot available

Abstract

fetched live from OpenAlex

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.008
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0700.000

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 head0.078
GPT teacher head0.375
Teacher spread0.297 · 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