“I Want to Change the Narrative of Women’s Basketball in Canada”: Examining a Women’s Semiprofessional Summer Basketball League Using LaVoi’s Ecological-Intersectional Model
Bibliographic record
Abstract
The development of women’s professional and semiprofessional sport is currently experiencing a period of rapid growth, yet there is an absence of research exploring this development and the potential impact, particularly within the Canadian context. The purpose of the present research was to examine a women’s semiprofessional basketball league, the HoopQueens summer league , through the lens of LaVoi’s ecological-intersectional model to understand, across all levels of the ecosystem, what must be considered to create lasting change for women in sport. Interviews were conducted with players, coaches, and staff over the course of one season. The development of a new league, with the creation of a strong sense of sisterhood, professional development opportunities, and a strong leader, is having a positive impact on the participants and generating change for women’s sport within the Canadian sport system. Continuing to grow the league, to ensure greater media coverage, to engage with fans, as well as to generate additional revenue are areas that can be further explored for creating sustainable change.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.053 | 0.026 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".