A Question of Identity in the Life and Works of Sat-Okh (Long Feather)
Bibliographic record
Abstract
Sat-Okh (Stanisław Supłatowicz) was an Indian-Polish writer who popularised the culture of North American Indigenous People in Poland during the Cold War and afterwards. His incredible biography evokes questions about the nature of his identity. Born of an Indian chief and a Polish mother around 1922 in the territory of Alberta, Sat-Okh grew up as a Shawnee. When his mother decided to return to Poland, he followed, but until his death in Gdańsk in 2003, Sat-Okh consistently identified with his Indigenous heritage. During WWII he escaped from a train to Auschwitz and joined the AK (The Home Army). He became famous for numerous books and short stories about his life with the Indians, which were translated into many languages. He was also strongly involved in the Polish-Indian Movement and promoted the culture of his native ancestors. This paper aims to present the life and work of Sat-Okh with regard to his mysterious identity. Recently, there has been some doubt whether Sat-Okh's biography is genuine. However, I would like to argue that Long Feather's phenomenon proves the fact that regardless of whether he was a true Shawnee or not, Sat-Okh chose to identify himself as Indian and consistently presented himself as one. He taught Poles about Indian traditions and gained a tremendous respect which has lasted until today.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.033 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".