Bibliographic record
Abstract
From Horse and Buggy to GPS: Life on a Saskatchewan FarmBy Roderic BeaujotAbstract:This book tells the story of Leon and Dorothy Beaujot, their lives on a family farm in Saskatchewan (1945-1985), and the stories of their parents who arrived in Canada from Belgium and France over the period 1892 to 1911. With a focus on earning a living and raising families, these farming families underwent much change that took them from horse and buggy days to increasing specialization and mechanization in agriculture. The book starts with a short description of the conditions that allowed for European settlement in Western Canada. Another chapter covers the rise and the almost disappearance of the Saint Hubert community in Saskatchewan, founded in 1885, and settled by immigrants from Belgium, France, and Quebec. In order to compare experiences to those of family members who remained in Europe, short descriptions are also made of the lives of uncles, aunts and first cousins of Leon and Dorothy Beaujot, across the four families of origin: Beaujot, Sénéchaud, Mullie, Smets.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.028 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".