Innovative leisure practices: Cases as conduits between theory and practice
Bibliographic record
Abstract
Ecotourism, conservation, and sustainability: A case study of the Camrose Purple Martin Festival / Glen T. Hvenegaard & Alanna N. Kaiser -- Leisure education, poverty and recreation participation: A case study of a community-based leisure education delivery system / Chelsey Hiebert & Jacquelyn Oncescu -- Experiential and community-engaged learning: Improving the health of Cape Breton Island, one fourth grader at a time / Bettina Callary & Patrick Maher -- Private land, public interest: Securing private land access to encourage amenity based migration for community development / Jeff Wahl & Pete Parker -- Successful winter tourism destinations: An examination of the Forks National Historic Site, Winnipeg, Manitoba / Amanada J. Johnson & Chrstine Van Winkle -- Becoming Vincent: Using storytelling to link Vincent Van Gogh’s heritage sites physically and digitally / Licia Calvi & Moniek Hover -- Lessons from the river: Utilizing whitewater critical incident and accident case studies to inform decision-making frameworks in outdoor leadership / Rob Dussler -- Supporting informed destination development using visitor intelligence / Nicole Vaugeois & Pete Parker -- Walk to Tuk: An innovative physical activity program for Northwest Territories residents / Lauren A. Brooks-Cleatora, Audrey R. Giles, & Sheena Tremblay -- Robotics programming kids for leisure / Nicole Peel -- Training tomorrow’s aquatic leaders: A collaborative model in the Regional District of Nanaimo on Vancouver Island / Anne Porteous
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 | 0.019 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.024 | 0.035 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.005 | 0.021 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".