Hansler/Stirtzinger Family fonds, 1790-2018, n.d.
Bibliographic record
Abstract
The Hansler family (originally Hansel) came to Canada from New Jersey around 1780. George Hansler settled with his wife and young daughter on Twelve Mile Creek in Thorold Township. The first year proved to be difficult and George’s wife decided to return to New Jersey with their daughter. She feared that they would starve if they remained. Without a reliable postal service, George and his wife lost touch. After some time, it was assumed that George’s wife had died and the marriage was dissolved. George then married Rosanna Slough and had four children with her: Julia, Barbara, Hannah and Andrew. By now George was settled in Pelham Township on land that he received through a grant. He planted a five-acre apple orchard in Pelham. The Hansler family became well-known in both Thorold and Pelham Townships as subsequent generations remained in these communities. John Felix Stirtzinger was born in Germany. He came to the United States with his mother and siblings in 1828 or 1829 and settled in Philadelphia, Pennsylvania. Sometime between 1829 and 1835 he came to Canada, eventually settling in Pelham Township. Here he met Julia Ann Slough and the two were married in 1836. They remained in Pelham Township and had 16 children.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.190 | 0.038 |
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".