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
Let us begin with a photo: here, we see Claude Lévi-Strauss going up the Seine from Rouen to Paris in a canoe, accompanied by paddlers from the Haida tribe of British Columbia. [1] It is the fall of 1989, and the exhibition “The Americas of Claude Lévi-Strauss” is on display at the Musée de l’Homme. The 18-metre canoe, made from red cedar, was crafted by Native American-Canadian artist Bill Reid; it acts as a symbol of the indigenous art of the ancient Pacific Northwest in its prime. The canoe follows the Seine from Rouen to Paris, where the anthropologist joins the oarsmen before being received together at City Hall by the mayor at the time, Jacques Chirac. You have to imagine this scene. The press has given us a partial account: [2] for six days, the countryside of Normandy and then of Île-de-France slipped past Native American bodies; on the bank, French children with multicoloured feathers in their hair cried, “The Indians are coming! The Indians are coming!”; and finally, the incongruous arrival in an occidental city at the end of the twentieth century. The political power of this staging – to which Lévi-Strauss graciously submitted himself – lies in the slow revival of the past it is presenting, symbolically inverting the terms of the discovery: this time, it’s the Native Americans who come to meet the white men. The terrible encounter of the sixteenth century, often called the “discovery of America”, which for Lévi-Strauss inaugurated the cataclysm of modernity, is hereby replayed in reverse. What was done can be undone. The past comes back in a present that can, sometimes, act as redeemer. In any case, one can hope so. [...]
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it