"Everybody Called Her Frank": The Odyssey of an Early Woman Lawyer in New Brunswick
Bibliographic record
Abstract
In February 1934 Frances Fish was called to the bar of New Brunswick and spent the next forty years practising law in her home town of Newcastle (now City of Miramichi) NB. In 1918 she had been both the first woman to graduate LLB from Dalhousie University and the first woman to be called to the bar of Nova Scotia. Though she initially intended to remain in Halifax, she instead left Nova Scotia almost immediately, abandoning the practice of law altogether. She spent the next fifteen years working as a paralegal in Ottawa and Montreal before returning to New Brunswick and resuming the practice of law. This article is a study of Fish’s career in New Brunswick, framed within the experience of the first women lawyers in Canada, of whom she was the seventh. Resume En fevrier 1934, Frances Fish a ete recue au Barreau du Nouveau-Brunswick. Pendant les quarante annees qui ont suivi, elle a pratique le droit dans sa ville natale, Newcastle (qui fait maintenant partie de la ville de Miramichi), au Nouveau-Brunswick. En 1918, elle a ete la premiere femme a obtenir un baccalaureat en droit de la Dalhousie University et la premiere femme recue au Barreau de la Nouvelle-Ecosse. Bien qu’elle avait, au debut, l'intention de rester a Halifax, elle a quitte la Nouvelle-Ecosse presque immediatement apres ses etudes, abandonnant completement la pratique du droit. Elle a travaille comme technicienne juridique pendant quinze ans avant de revenir au Nouveau-Brunswick et de reprendre la pratique du droit. Le present article est une etude de la carriere de Fish au Nouveau-Brunswick en tant que l’une des premieres femmes juristes du Canada, soit la septieme.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.071 | 0.024 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.005 | 0.017 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".