Bibliographic record
Abstract
We are beguiled.It happens mostly in our old age, when our personal futures close down and we cannot imagine -sometimes cannot believe in -the future of our children's children.We can't resist this rifling around in the past, sifting the untrustworthy evidence, linking stray names and questionable dates and anecdotes together, hanging on to threads, insisting on being joined to dead people and therefore to life.Alice Munro, The View from Castle Rock 1This book is an outcome of my rifling around in the lives of my greatgreat grandparents: James Ross was the first of my Scottish ancestors to cross the Atlantic and his wife, Mary, was a younger sister of the Hudson's Bay Company fur trader James Hargrave.In the early 820s, James Ross chose a lot on a narrow point of land between the Châteauguay and Outarde rivers southwest of Montreal to settle his wife and growing family while he helped build the Lachine canal.I turned to his brotherin-law's letterbooks written more than a thousand miles away on Hudson Bay to try to uncover more of his story.I was beguiled by these letterbooks.I mean by this that they fascinated and captivated me, and not, I trust, that they particularly deceived or misled me about the lives of my great-great grandparents and their relations.Through the handwritten words of James Hargrave, I discovered far more than I expected about his life and the lives of his family and friends on both sides of the Atlantic and about what it meant to be an emigrant to British North America in the first half of the nineteenth century.To him, therefore, I owe my gratitude.
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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.361 | 0.224 |
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".