Bibliographic record
Abstract
The plea was advertised in the British Medical Journal in February 1929: seeking "strong energetic Medical Women with post-graduate experience in Midwifery" for "country work" in western Canada. A young Dr. Mary Percy was intrigued. After graduating with degrees in medicine and surgery from the University of Birmingham in 1927, she had been searching for the kind of opportunity which would offer both adventure and practical experience. She answered the advertisement and set off for the Peace River region of Northern Alberta in June of 1929. Little did she know that her "adventure" in the Canadian north was to last more than seventy years. Suitable for the Wilds : Letters from Northern Alberta, 1929-1931, is a collection of Dr. Mary Percy Jackson's letters written to family and friends in the early years of her practice, from 1929-1931. The letters offer a fascinating glimpse at life in northern Alberta at the beginning of the Depression, when the area was being farmed and settled by new European immigrants. These homesteaders, along with the area's Aboriginal and Métis population, were Dr. Percy's patients, scattered throughout a territory covering nearly 400 square miles. Vigilant about vaccination, nutrition, and preventive medicine, she quickly proved to be a talented physician who was truly ahead of her time, particularly in the area of tuberculosis treatment and prevention. Dr. Percy's dedication, good nature, and unfailing sense of humour shine through in her letters. This delightful and captivating collection is a tribute to her indomitable spirit.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.178 | 0.116 |
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".