Griffiths/Cunningham Family Fonds, 1667-2013, n.d. (non-inclusive)
Bibliographic record
Abstract
The Griffiths Family history began in Wales. Extensive research was done by Margaret Cunningham regarding her ancestors. Interviews were conducted and subsequently, photographs and information were passed on from generation to generation. Margaret Cunningham maintained a connection to relatives through correspondence. Information on the DeCew/DeCou house is included. The house belonged to the Griffiths Family. The Cunningham Family immigrated from Ireland. They were descendants of James Cunningham and Anne Switzer. The Cunninghams were part of the Peter Robinson settlers. They were said to be among the first white settlers in Ops Township, Ontario. Laurence Dunbar Cunningham served in World War I. His correspondence details his day to day life as a soldier. Gwladys Griffiths and Laurence Cunningham married on October 1, 1925. Laurence and Gwladys both attended Linlahr Sanitorium in Illinois as students. Laurence became a chiropractic doctor, dietetic specialist and itinerant healer. The Cunninghams were very involved in the Farmer’s Co-operative and the New Democratic Party.
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 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.385 | 0.066 |
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".