Bibliographic record
Abstract
Night Chorus SuddenlyYap-plaint of dogs And whining, Coyote-cries Through howlingOf wolves.Homesickness Unawares Smarting Through the night And through my marrow.-Vandersteene, 2 June 1974 T his book is about a man haunted by a vision.He pursued it because it was reality-laden, yet, strangely, its essence always seemed to elude him, despite the many talents he brought to bear in its pursuit.Rogier (originally Roger; his Canadian colleagues used the altered form, which he preferred in Canada) Vandersteene was born on 15 June 1918, in Marke, a town deep in the heart of Flemish Belgium; he died on 7 August 1976 in the priest's house in Slave Lake, a northern Alberta town on the fringes of his Cree mission station east of Peace River, Alberta.Between those two stark bookends is a life imbued with two great loves: Flanders and the Cree people -and a religious vision that united them at a very deep level.Flanders was the root of the man.Flanders bequeathed to him many of the principle concerns of his life: language and rights, feeling for minority status, piety toward Mary, the power of the forces of history, an Oblate heritage, which we will have occasion to explore during his colourful life.As time went on, he was more and more consumed by his other love: the Cree people.It was a passion that moved him to reject the implant of a Euro-Canadian church among his Cree friends.What he really sought was the deep veins of Cree culture, because ix x
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.388 | 0.241 |
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".