‘A‘ohe pau ke ‘ike ka hālau ho‘okahi [All knowledge is not taught in the same school] Welcoming Kānaka Hawai‘i Waves of Knowing and Revisiting Leisure
Bibliographic record
Abstract
As we reflect on the leisure science canon, we use this occasion to ponder how our scholarship has engaged with communities with alternative worldviews compared with the Euro-North American worldview dominant in leisure scholarship. While some Indigenous cultural practices may, at first glance, seem similar to behaviors found in Euro-North American leisure space-time, such a comparison is often problematic when an Indigenous language has no equivalent concept or word for leisure and the worldview assumes a different relational reality. Drawing on our ongoing research working with Kanaka Hawai‘i, we offer a discussion of the relevance and need for Ieisure scholars and practitioners to engage with Indigenous worldviews, ways of knowing and being. We specifically focus on approaches and dispositions relevant to scholars and practitioners as we look to nourishing possibilities for richer relationships between Indigenous and non-Indigenous peoples through leisure.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".