Bibliographic record
Abstract
• HR: A Biography of H.R. MacMillan by Kenneth Drushka -Reviewed by Robert A.J. MacDonald (pgs: 97-9) • Logging the Globe by Patricia Marchak -Reviewed by Clark S. Binkley (pgs: 99-101) • All Possible Worlds: Utopian Experiments in British Columbia by Justine Brown -Reviewed by Lyman Tower Sargent (pgs: 101-3) • The Eternal Forest by George Godwin -Reviewed by Brian Elliott (pgs: 103-5) • The Geology of Southern Vancouver Island: A field guide by C.J. Yorath • Geology of the Kelowna Area and Origin of the Okanagan Valley, British Columbia by Murray A. Roed -Reviewed by Richard L. Chase (pgs: 105-6) • A History of Canadian Architecture, Volumes I and II by Harold Kalman -Reviewed by Christopher A. Thomas (pgs: 107-8) • Ron Thom: The Shaping of an Architect by Douglas Shadbolt -Reviewed by Rhodri Windsor Liscombe (pgs: 109-10) • The Wilderness Profound: Victorian Life on the Gulf of Georgia by Richard Mackie -Reviewed by Allan Pritchard (pgs: 111-2) • Historic Nelson: The Early Years by John Norris -Reviewed by Naomi Miller (pgs: 112-3) • Red Flags & Red Tape: The Making of a Labour Bureaucracy by Mark Leier -Reviewed by David Bright (pgs: 113-5)
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.586 | 0.622 |
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".