Bibliographic record
Abstract
Bertram Neville Brockhouse was born on 15 July 1918 in Lethbridge, Alberta, Canada. His grandfather was a miner who emigrated to North America from England. He became active in a strike to unionize the mines and to protest against the poor working conditions; as a result he had to leave mining. He then, with his son, Israel Bertram Brockhouse, went homesteading in Southern Alberta with a small farm and domestic animals, where his son married Mabel Emily Brockhouse (née Neville), who had grown up in Illinois and belonged to a family of English Americans. They had a family of four, the eldest of whom was Bertram Neville, known to his friends and family as Bert. He had a sister, Alice, and two younger brothers, Robert, who died in infancy, and Gordon, who became a civil engineer for the railroad. The homestead was on the Milk River close to the Canada–USA border and the local school was a one–room elementary school a couple of miles from the farm. Bert was a nominal attendee at this school but did not remember learning to read or to do simple arithmetic there.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.447 | 0.190 |
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".