Bibliographic record
Abstract
This work would not have been possible without the enthusiasm, generous support, and cooperation of many people.Families indulged our obsession with these letters and provided help and encouragement throughout the long process.Vacations were often planned around the requirements for research opportunities and familiarity with conditions in such places as Fort Vancouver, Victoria, California, and Hawai'i.We are grateful to our husbands: to Richard Buss, for helping us in our pursuit of accuracy by comparing the original letters with the typed transcriptions; and to Francisco Valenzuela, for taking on research assistant duties in the Public Archives of Nova Scotia.One group of letters to voyageurs -those in French -required special help to transcribe, translate, and understand another culture.We are deeply indebted to the many people who have helped provide details on the lives of the voyageurs and their families, and interpret and correct the transcriptions and the translations.Foremost among them are Carolyn Podruchny, who shared the results of her research in the Archives nationales du Québec in Montréal; Alfred Fortier, who guided our research in the wonderful reference resources of the Société historique de Saint-Boniface at the Centre du Patrimoine in Winnipeg; Robert Vézina, who applied his knowledge of old French to the interpretation of the language of the letters; and Roger Baron, who read the translations and offered suggestions and interpretations.Many of the staff at the Provincial Archives of Manitoba read the results and provided helpful suggestions, including Monique Clément, Martin Comeau, Gilbert Comeault, Janelle Reynolds, and Diane Schipper.Our thanks to all.Among the most helpful in tracking down personal details and publicizing the names of the letter writers are a number of genealogists.Bruce Watson generously shared his findings on individuals who served on the west coast, compiled after many years of diligent research.His vast compilation of thousands of names, which has restored their personalities and histories, will be a boon to researchers when it is published.The tireless efforts of Sharon Osborn-Ryan have created indispensable indices to the baptisms, marriages, and burials in the early years of Washington and Oregon territories, published by Harriet Munnick in an earlier monumental task.Through their
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.282 | 0.177 |
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".