Thomas Mcindoe: a Te Aroha saddler who became an Auckland businessman
Bibliographic record
Abstract
Starting out as a saddler at Te Aroha in 1891, Thomas McIndoe also became an agent, especially a successful land agent, acquiring some land holdings for himself. After leaving Te Aroha in 1911 he was a businessman in Auckland for the rest of his life. During the mining boom of the 1890s, he invested in many local mines, probably without making much if any money from his share dealings. \nMcIndoe participated in almost every aspect of Te Aroha life, including the Anglican Church, a variety of sports, the Volunteers, the freemasons, and (especially) musical events. Involved in just about every local organization and local government body, he was the first president of the Chamber of Commerce and, briefly, on the borough council. Politically, he was a prominent supporter of the Liberal Party. In addition, he was notable for his charitable acts and for one heroic rescue. His personality was generally amiable, but he had a prickly side as well. He was a notable example of a ‘pillar of the local community’.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".