Rethinking Repatriation and Curation in Newfoundland
Bibliographic record
Abstract
Since 2004, “Back on Track” has been produced by the Research Centre for Music, Media, and Place at Memorial University, partly in response to public requests for access to the university’s archival collections. It aims to recover historically and culturally significant documents for public use; augment cultural content in the schools; promote and disseminate the culture of the province and beyond to local, national, and international audiences; stimulate new artistic work that builds on earlier traditions; and contribute to policy development relating to cultural diversity. This chapter considers processes of collaboration, strategies of representation, and the construction of present and future relationships to the past through music. Specifically in relation to Indigenous content in the series, the chapter demonstrates how curated collections, when produced in collaboration with communities and individuals, not only repatriate audio recordings, but also amplify local histories and both personal and collective memories.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.040 | 0.028 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".