Bibliographic record
Abstract
Crest. 9.2 x 7 cm. Gagnon I, 4889; Harrod & Ayearst, p. 93; Masson Collection Vol. VIII, #1301. somewhat age-darkened. \nHugh MacMahon was born in Guelph, Upper Canada. He became a lawyer and practiced in Brantford, London, and finally Toronto. He was a distinguished criminal lawyer and defended the accused in the Biddulph murder trial. He became a judge in 1887. (Wallace). \nBetween the night of February 3 and the morning of February 4, 1880, five members of the Donnelly family were murdered by members of the Vigilance Committee in Biddulph Township, near London, Ontario. The murdered members of the family included James Sr., Judith, Thomas, John and Bridget Donnelly. The specific reason for the murders is still unclear but the underlying factors go back to the settlement of Irish emigrants in Biddulph Township and the successive feuds among the families, secret societies brought from Ireland, and increasing violence and murder. The Donnelly's were blamed for many instances of violence, murder, theft, and arson, both rightfully and wrongfully, and they were disliked and feared by many of the families in the township. Thirteen people were charged with the murder of the Donnelly's. When the case came to trial, the verdict was not guilty and sentences were not given due to the conflicting evidence given during the trial. (Trent University Archives).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.350 | 0.126 |
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".