Memory Work, Learning and Tourism: On a Transformationaland Collaborative Journey for Reconciliation in Canada
Bibliographic record
Abstract
Indigenous residential schools in Canada are a dark history, a dissonant heritage that many have wanted to forget. In 2015, the Truth and Reconciliation Commission (TRC) provided 94 Calls to Action to reconcile Canadians and Indigenous peoples, urging everyone to collectively address and repair residential school trauma. Tourism can be a way to actively embody negotiated memories, often as counter-narratives, offering agency for those most affected. It can help unravel the complexities of these turbulent experiences offering hope through a transformative learning process. In this paper, we ask the question of whether former Indigenous residential schools in Canada as dissonant heritage sites can contribute to reconciliation through Indigenous storytelling and the relearning of Indigenous and colonial history. It is an interpretive and phenomenological study making sense of individuals’ subjective lived experiences, gaining meaningful insights into the significance of residential school dissonant heritage. A conceptual framework and exploratory research are presented.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.065 | 0.024 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".