Bibliographic record
Abstract
The former Part of this History was written at New-York in the Year 1727, on Occasion of a Dispute which then happened, between the Government of New-York and some Merchants. The French of Canada had the whole Fur Trade with the Western Indians in their Hands, and were supplied with their woollen Goods from New-York. Mr. Burnet, who took more Pains to be informed of the Interest of the People he was set over, and of making them useful to their Mother Country, than Plantation Governors usually do, took the Trouble of perusing all the Registers of the Indian Affairs on this Occasion. He from thence conceived of what Consequence the Fur Trade with the Western Indians was of to Great-Britain; that as the English had the Fur Trade to Hudson’s Bay given up to them, by the Treaty of Utrecht, so, by the Advantages which the Province of New-York has in its Situation, they might be able to draw the whole Fur Trade in the other Parts of America to themselves, and thereby the English engross that Trade, and the Manufactories depending on it....
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.160 | 0.053 |
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".