Indigenous Brooklyn: Ironworking, Little Caughnawaga, and Kanien'kehá:ka Nationhood in the Twentieth Century
Bibliographic record
Abstract
Unknown to most people who are accustomed to speak with condescending pity of the American Indian as a dying and vanishing race in the struggle for existence, a respectable little company of real aboriginal redmen lives and thrives in the midst of New York City, the heart of the most complex civilization in the world, where competition between individuals and racial types is fiercest, prices highest, rent steepest, and conditions of living in general as far from the conditions in which the early Indians lived as anything could be. And yet, somehow, these Indians have managed to adapt themselves to the conditions they find around them making an honest living and a good one, and winning the respect of their neighbors on their merits as members of the community irrespective of their descent from the quondam owners and rulers of the land . . . Joe Delile [Delisle?] of the Iroquois descent, and from the St. Regis Reservation [Ahkweshsne] in Northern New York, is a structural ironworker in the city, and Walter Deer of the Caughnawaga [Kahnaw:ke] is hewing his way here.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".