Collaboration for Cultural Revitalization: Researching the Songs and Stories of Early 20th-Century Woods Workers in Newfoundland and Labrador, Canada
Bibliographic record
Abstract
This paper provides an account of the interrelated collaborations that emerged as part of an interdisciplinary research project designed to document and revitalize the occupational songs and stories of early 20th-century woods workers in Newfoundland and Labrador, Canada. In the context of a paucity of research related to these industries and occupations and their cultural legacies, we approached the songs and stories not only as cultural and musical texts but also as specific social histories and embedded literacy practices. Our purpose was to identify, primarily through archival research and textual analysis, the extent of this song and story tradition and what it revealed about those at its centre. We then determined ways to reframe and represent this tradition to contemporary audiences interested in the intersections of history, culture, and identity through story and song. The ten-year multi-faceted project unfolded organically through a series of university-community collaborations that spawned communities of practice in Newfoundland, Labrador, and Scotland. In this paper, we explore the nuances of these multi-tiered collaborations, the intersecting and diverging goals and needs that informed them, and the insights and benefits that accrued throughout their duration.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".