”It’s not really about the surf”: exploring Mi’kmaw perspectives of the Unama’ki Surf programme
Bibliographic record
Abstract
The Unama’ki Surf Programme is run by the First Nation Mi’kmaq Physical Activity Leaders (MPALs), in conjunction with the Surfing Association of Nova Scotia on the shores of Unama’ki (Cape Breton Island) in the territory known by its colonial name of Canada. This participatory action research project re-launched a programme shut down by COVID and explored Mi’kmaq ways of knowing about place-based cultural sport participation from the perspectives of leaders and youth involved in the Unama’ki Surf Programme. Data were collected over 2 years with seven youth, two youth surf leaders, five MPALs, three Mi’kmaw sport leaders, and an Elder. Researcher fieldnotes were taken while supporting the programme and leading workshops in which participants painted the bottom of surfboards. They were encouraged to paint their cultural identity in the Unama’ki Surf Programme. Photos, video, and audio recordings of conversations were taken during the workshops, when the youth were surfing, and when they were on the beach. We produced three themes: surfing as a means of connecting with water, supporting psychologically safe growth, and building and supporting Mi’kmaw communities. Findings are discussed with regard to the meaningfulness of the Indigenization of the surf programme.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".