Sport Management Must Show Social Concern as It Develops Tenable Theory
Bibliographic record
Abstract
Today sport and all other social institutions (e.g., religion, politics, finance) are confronted with the need to demonstrate that they are worthwhile and responsible. Sport managers should understand what sport’s status is and how and why such standing occurred. Difficult decisions, often ethical in nature, will have to be made as members of the sport management societies worldwide strive to continue developing this profession and discipline. These professionals need to decide to what extent they wish to live up to the broad ideals of the programs being promoted by public, semipublic, and private agencies for people of all types and ages. Those involved with professional preparation and scholarly endeavor urgently need a theory and a disciplinary model for administrative or managerial leadership of sport on a gradually improving, sound academic basis. Practitioners need an online service that provides them with scholarly applied findings as they seek to serve in the behaviorally oriented environment of today’s world.
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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.067 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".