Catherine Parr Traill, ‘Advertisement’, ‘Letter VII’, the Backwoods of Canada: Being Letters from the Wife of an Emigrant Officer, Illustrative of the Domestic Economy of British America
Bibliographic record
Abstract
This volume was published in the ‘Library of Entertaining Knowledge’ in 1836. Neither its usefulness nor its interest are diminished in 1846. The authoress, in her original introduction, says:—“The writer of the following pages has endeavoured to afford every possible information to the wives and daughters of emigrants of the higher class who contemplate seeking a home amid our Canadian wilds. Truth has been conscientiously her object in the work, for it were cruel to write in flattering terms calculated to deceive emigrants into the belief that the land to which they are transferring their families, their capital, and their hopes, is a land flowing with milk and honey, where comforts and affluence may be obtained with little exertion. She prefers honestly representing facts in their real and true light, that the female part of the emigrant’s family may be enabled to look them firmly in the face; to find a remedy in female ingenuity and expediency for some difficulties; and, by being properly prepared, encounter the rest with that high-spirited cheerfulness of which well-educated females often give extraordinary proofs. […]
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".