Bibliographic record
Abstract
Winning a national championship is a rare feat; winning five consecutive championships is extraordinary. One such example has recently occurred with the University of Windsor women’s basketball team which competes in the Canadian interuniversity sports league. The team’s head coach, Chantal Vallée, has a combined regular season and playoff winning percentage greater than 80%, including winning five consecutive Canadian national championships. Even more astounding is that before her appointment the school had only four winning seasons in their 50-year history, and had never hosted a playoff game. The purpose of this paper is to explain the remarkable turnaround of this program. This article will provide both the “what” (Enacting The Vision; Athlete Empowerment; Teaching Life Skills; Lifelong Learning and Personal Reflection) and the “how” (blueprint) of the transformation of the University of Windsor women’s basketball into a perennial national contender.
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 | 0.014 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.041 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".