Bibliographic record
Abstract
Sitting in a house on the road into Ingonish, just outside Cape Breton Highlands National Park, I listened attentively while Maurice Donovan, eighty-nine, told of being expropriated from the park in 1939.His wife, Emma, sat nearby, quiet at first but then jumping in more and more to correct and clarify, speaking first to her husband and soon directly to me.Their farm had become the ninth and tenth holes of the park golf course, and by the time the Donovans left in 1939 golfers were fading their shots around the house.(Strange that Maurice would interject later in our talk, "Golf is a wonderful game.")Maurice was talking about his confrontation with the course contractor, Bill Stewart, the only person from the park who drove across the farm whenever he saw fit.Maurice remembered, I came up to the clubhouse one morning and they were all sitting on the patio out front and Bill Stewart saw me and I went up to him.I was polite, but I said, "It's still my property.I'd like to tell you before you come tomorrow morning not to cross my line or you'll get buckshot in the arse."Stewart tore off his sweater, and I tore off my coat."Come on.Come on."Maurice sprang from his chair to demonstrate, big grin on his face, ripping off his cardigan, his body poised, his fists ready.He subsided just as quickly: "But Cullen got between us and …" Things were smoothed over, and in time he and Stewart even got along, a respect formed.Maurice kept talking, settled back down in his chair, but my
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.582 | 0.362 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".