Bibliographic record
Abstract
During the 1600s, Algonkian and Wôbanaki peoples in present-day New England and Canada found themselves in what has been called "the maelstrom of change," as Euro-American settlers started flooding into Native homelands. (1) The settlers were preceded by explorers and traders, who had carried not only trade goods but diseases. Population losses from influenza, smallpox, measles and other sicknesses caused a disruption in Native communities. Existing tensions between tribes led some coastal Native groups, such as the Wampanoag, to initially welcome small groups of European settlers and traders, who could provide trade goods, guns, and potential allies. European settlement led to Native political instability when international disputes made their way into local politics. As Native peoples were increasingly caught up in both inter-tribal and international conflicts, and crowded by European settlements, some Native communities began relocating to form new communities in diaspora, such as Kahnawake, La Montagne, Lorette, Odanak, Sault-au-Récollet, and Schaghticoke, and the praying villages at Natick, Wamesit, and elsewhere.
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 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".