The Rise and Decline of Trailcutting on the Miramichi, 1960- 1990: A Perspective Based on Oral History ALTHOUGH THE IMPORTANCE OF FORESTRY to the economic history of Canada, and
Bibliographic record
Abstract
particularly New Brunswick, is well recognized, there has been surprisingly little attention paid to the study of woodswork itself.1 While Graeme Wynn's landmark Timber Colony2 depicts the traditional technology and techniques of woodswork which prevailed into the middle of the 20th century, most studies of the contemporary period, written mainly by forestry engineers,3 focus on technical information and the development of new machinery. Even Ian Radforth's book, Bushworkers and Bosses,4 focuses more on worker reaction to the introduction of new machinery than on developing a systematic understanding of the changing organization of the labour process. To begin to address this gap in the literature, our Research Note reports on the changes in the social organization of woodswork since 1960. Our basic source of information is a collection of 45 in-depth, unstructured interviews conducted during 1 The authors would like to acknowledge the contribution of Aloysius Hayes, a collaborator on this project. Though not a co-author of this present paper (having graduated from St. Thomas and hence having left the research group), his contribution went beyond that of simply being the researcher who
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".