WATER POWER SAWMILLS IN NEWFOUNDLAND Written and Illustrated By
Bibliographic record
Abstract
PREFACE This book is mainly the result of a family effort over the past three years. During the summer months the 'research crew ' consisted of my wife, Geraldine, our son, Stirling (who was two-and-one-half years old when we began studying old sawmills), and myself. The winter months, when we were confined to the environs of St. John's, offered time for reflection on past summer activities and opportunity for research, writing, drawing and building working models. During our research we travelled extensively throughout Newfoundland and Great Britain and, in the process, we experienced great satisfaction from these wonderful old mills of yesteryear. The above points are worth noting because it shows that it has a fascination for all ages. I suppose this book might have some merit as an industrial archaeological project- we hope so. But, as a family project, it was all fun and games. The picnics beside the babbling mill brooks amidst peaceful and beautiful forest scenery; the excitement of discovering medieval books in some dusty corner of a library; the pleasures and satisfaction in building a working model sawmill; the acquaintance of many new friends we met on our travels. But perhaps, more importantly, we experienced for ourselves that these dishevelled old mills are not merely useless brutes from the past, like some old stone relic in a glass cage that only experts can appreciate. On the contrary, mills are active places. While adults may marvel at the ingenuity of our ancestors, little children like Stirling in their fantasies see leprechauns and other fairytale heroes behind every cog and wheel; in short, to a child old watermills are great big oversized toys inhabited by all the imaginary friends their active minds can dream of. The fairytale stories of magic wee folk conjured up by a lively, excited little boy gave us the sort of precious memories that all parents treasure. Like hundreds of families, our visits to
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.062 | 0.007 |
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".