What Price Victory? An Analysis of Minor Hockey League Players ’ Attitudes Towards Winning
Bibliographic record
Abstract
A strong emphasis o~n achievement and success in the occupational world is apt to be a prominent value in any highly competitive in-dustr’ialized society (Wirl1iams 1960: 415-70). The domain of professional sports is no exception; the significance of success in the field of sports is caught neatly in the words of coach Vince Lombardi, &dquo;Winning isn’t everything. It’s the only thing&dquo; ~(Ed~vard~s 1973: 137). Writing of Amer-ican Society, Merton (1967: 135) has suggested that the considerable emphasis given the goal of success has li’kely attenuated the satisfactions derived from sheer participation in the activity that only a successful outcome provides satisfaction. The same may by said of Canadian society. The stress on competition and>on success in our society is seen, to some extent, ~even in the play activity of children. When children play together their activity is characteriz.ed by ~its sinmp,lidity and relative lack of organization, they welcome allcomers-into the game and usually
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".