Bibliographic record
Abstract
In 2016, Canadian musician Gord Downie released a solo concept album titled Secret Path, which dealt with the death of Chanie Wenjack, an Anishinaabe boy who passed away after escaping an Ontario residential school in the 1960s. This album came just one year after the Final Report of the Truth and Reconciliation Commission (TRC) was published, marking a major national step in the reconciliation process. This, in combination with Downie’s terminal brain cancer diagnosis that same year, gave the album a particularly heightened prominence within Canada. This paper examines Downie’s album through the musicological framework of secondary musical witnessing, where Downie acts as a witness in defining the story of Chanie Wenjack. Through analyzing Downie’s role as a musical witness, broader questions of Indigenous allyship are explored through the colonial lens of settler witnessing. This paper aims to explore the nuances and circumstances around Secret Path to understand its historical and cultural significance in the reconciliation movement upon its release, as well as the problems with its legacy related to Indigenous allyship when judged by modern standards as a way of demonstrating how far the reconciliation movement has progressed since 2016.
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.035 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".