Bibliographic record
Abstract
When the English arrived in 1607, it wasn't the first time the Natives had seen a large ship come onto their land, and they knew it wouldn't be the last.What they couldn't have known; however, was that this group of people would fight back.In Camilla Townsend's book Pocahontas and the Powhatan Dilemma: The American Portraits Series, she debunks theories about the encounter between the Native Americans and Europeans, as being unintelligent yet kind people who saw them as gods.Powhatan, an Algonkian chief, knew from past occurrences that Europeans did not abide by their customs and would quickly incite violence if threatened.To manage the English and protect his people, Powhatan used all readily available resources -including his daughter Pocohontas.Together, Powhatan and Pocahontas proved to be competent strategists, which is demonstrated in their resistance to the English.Powhatan was a powerful paramount chief, or the manitowik, who ruled over thirty Algonkian speaking tribes.He inherited six tribes as a young chief from the Arrohattock on James River to the Youghtanund on the upper York River in Virginia.As a result of the European and Iroquoian conquest up north in Canada, many smaller tribes looked to ban together for protection.Powhatan was a strategic businessman that used peaceful alliances, intermarriages, and forced resettlements of war survivors 1 as a method of gaining power and in exchange for tribute from neighboring tribes would ally with them against their enemies.He took advantage of the situation up north to grow his numbers.It was this combination, of wealth and strength, that had many Algonkian tribes siding with the manitowik and it would come into use once the English arrived.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 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".