Bibliographic record
Abstract
Mike Babcock is the only hockey coach in the history of the game to lead teams to victory in the Stanley Cup, the World Championship, and the Olympic Games. Formerly the head coach for the Detroit Red Wings for ten seasons, and now the head coach for the Toronto Maple Leafs, he is arguably the best coach in the game today. In this book, against the dramatic backdrop of the Canadian men's gold medal victory in Vancouver, Babcock provides an inspiring roadmap for achieving goals and fulfilling dreams. This is not just a book about hockey but a book about life, rooted in Babcock's "Leave No Doubt" credo. Written by Babcock and his longtime friend Rick Larsen, the credo hung on Team Canada's dressing-room wall during their historic run to Olympic gold. It provides a compelling framework for excelling in life. Illuminated by revealing stories about overcoming doubt, "owning pressure," and making a difference, "Leave No Doubt" is based on a firm belief in everyday commitment and a step by step approach to being "better than good enough." The words originally written for Canada's Olympic gold medal hockey team - leave no doubt, every day counts, our determination will define us - inspire an approach to succeeding in life that is relevant to people of all interests and ambitions. Athlete or not, each of us will find valuable guidance in this succinct primer from one of the most respected leaders in sports.
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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.388 | 0.340 |
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".