Bibliographic record
Abstract
1 made my first research journey to uncover the past of Helena Gutteridge.I knew she had spent ten years as a poultry farmer in the Fraser Valley.I knew the farm was near the village of Mount Lehman: in the Vancouver Public Library's Northwest Room I had found her married name in the British Columbia Directory for 1922.But of those years I knew nothing more.However, if I could obtain the legal description of her property, I could apply to the New Westminster Land Title Office to discover its precise location.And so on this very rainy day, I drove east on the Trans-Canada Highway to Clearbrook Town Centre, sixty kilometres from Vancouver.The tax office was in Matsqui Municipal Hall, and there I spoke with Treasurer Bruce Mclntyre.Old tax records?Yes, I was welcome to search them, but 1922?Not in this building.He found a bunch of keys and we went outside and across a large open space -where one knew cows must have grazed not too long ago -to a two-storey stucco-andbrick building, the old Municipal Hall.He opened a steel door and let me into a windowless, musty-smelling room filled with shelves of old record books, one of two storage rooms lined with reinforced concrete and called 'the vaults.'We looked for the 1922 Assessment and Collectors' Rolls; they were missing, but we found those for 1926 and 1930 in a pile on the floor.He pulled them out, heavy binders, two feet wide, and left me there in the vault behind the steel door to search the pages for Helena's name.I soon found it, recorded in the careful, deliberate handwriting of some municipal clerk in the days of pen-nibs and inkwells, and copied the legal description on a note card: Tt. of S.E.quarter (sw) Sec. 12, Tshp 14, Map 282, 3.07.'Helena owned 3.07 acres, assessed at $122.80.Taxes for 1926 were $2.46.She had been in arrears for 1925 but had discharged them with a payment of $5.15.Mr. Mclntyre also offered me the name of a local history buff, Doug-
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.599 | 0.413 |
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".