Bibliographic record
Abstract
Over the last few decades, there has been a significant growth in Indigenous-owned and operated tourism enterprises in what is now British Columbia, Canada, contributing to economic development and cultural revitalization goals. However, Indigenous tourism in BC tends to showcase only a small part of our cultures and histories and continues to be primarily driven by traditional tourism expectations. While drumming, totem poles, and heritage sites are important to share with the world, tourism is an opportunity to share information about our experiences of colonization, the struggle for the recognition of our rights, and the celebration of our contemporary cultural expressions. As First Nations in BC look to advance social justice goals, tourism is a potential tool which can educate the public and increase social awareness about Indigenous history, rights and issues. The Gitxaala Nation sees local tourism development opportunities such as wildlife excursions, sports fishing guide, and the development of a community museum and cultural tours, as opportunities to share the complete and complex story of Gitxaala. This includes the experience of oppression and genocide that was for decades omitted from the Canadian history curriculum and continues to be absent in most visitors’ experiences in BC. The development and operation of tourism experiences that contribute to social justice and Indigenous sovereignty also support community healing and empowerment, in addition to the expected cultural and economic outcomes of Indigenous tourism enterprises.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".