Teaching How Private Enterprise Works Using Professional Sports: A Brief Note on the Case of Individual NHL Players' Salaries
Bibliographic record
Abstract
As private enterprises in the U.S. and Canada, franchises in the National Hockey League (NHL) can be presumed to be firms pursuing maximum profits. Part of this pursuit involves the negotiation between NHL players and management of player salaries, which (among other things) must be consistent with the productivity level of each player. This educational note endeavors to empirically identify key, quantifiable factors that reflect individual NHL player productivity and as a result help to determine the regular season salary structure for individual NHL players, whether they be goalies, centers, wingmen, or defense-men. Ideally, such information can be useful for the student of private enterprise insofar as it provides insights relevant to free market decisions and outcomes involving marginal revenue product. Thus, this educational note demonstrates to the student of private enterprise how systematic measures of player productivity help to explain NHL player salaries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".