Bibliographic record
Abstract
Boat Building in Winterton, Trinity Bay, Newfoundland. Revised edition. By David A. Taylor. (Gatineau, Quebec: Canadian Museum of Civilization Corporation, 2006. United States distribution by the University of Washington Press, Seattle. Pp. xxii + 164, abstract, foreword, preface, acknowledgments, introduction, maps, photographs, illustrations, tables, graphs, illustrations, tables, graphs, chapter notes, appendices, glossary, bibliography. $29.95 paper) In 1985, I learned how to use and a to seal the deck of the schooner Ernestina. David Taylor's Boat Building in Winterton, Trinity Bay, Newfoundland, brought it all back: the fibrous oakum; the fanning blade of the iron; the piney smell of oil, wood, and sweat. More importantly, though, Taylor's book ably preserves the memories of others. Annie Proulx, author of The Shipping News (1993) and of this revised edition's foreword, says even fewer people since this work's original publication in 1982 possess the boat building skills that Taylor's volume describes. The new edition also calls attention to changes in folkloristics as it presents the master's thesis of a scholar and teacher who has since led many more preservation efforts at the American Folklife Center of the Library of Congress. Proulx's foreword attests to Taylor's foresight and the success of his preservation efforts, which include not only this book, but support for the Winterton Boat Building Museum (2003). A strength of Boat Building in Winterton is the original photographs and diagrams that carefully detail the construction of the small craft, helping correct a dearth of written records of boat design. Boat Building in Winterton joins materials from the regional archive with maritime and local history books to make them more accessible, thus supporting cultural tourism, which has helped replace income in the decline of Winterton's fishing industry. Taylor integrates the visuals with descriptive prose, which is necessary but not quite so successful as the historical sections. While words such as oakum and caulking iron admitted me to the collective memory, I found myself excluded later on, when technical terms were used before being introduced. Readers may find themselves paging back and forth in search of definitions with which to untangle jargon. The detailed diagram and glossary near the end of the book are helpful, but a more complete diagram, an index, and careful editing are needed to promote ease of reading. The dense descriptions may partly reflect Taylor's struggle as a new scholar dealing with the multiple audiences that public-sector folklorists must address-here, communities seeking to preserve their traditions and folklorists looking for theory and data to use in other studies. The second audience will likely find the boatbuilding language off-putting, while the first might find the detailed discussion of research methodology excessive. …
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.456 | 0.157 |
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".