Michael Jordan invests in esports, years after spurning NBA Jam
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A quarter century after being famously excluded from the cult favorite video game NBA Jam, Michael Jordan is investing in esports. NBA legend Michael Jordan is investing in esports, a quarter century after being famously excluded from the 1993 cult favorite video game NBA Jam after he opted out of the players associationâs group license.The former Chicago Bulls star, and current owner of the NBA's Charlotte Hornets, is now an investor with the major esports ownership group aXiomatic.The group's properties include powerhouse franchise Team Liquid.The board at aXiomatic includes Ted Leonsis (lee-ON-sis), who is owner of the NHL's Washington Capitals and the NBA's Washington Wizards.....and Peter Guber (goober), co-owner of the NBA's Golden State Warriors and MLB's Los Angeles Dodgers.NBA legend Michael Jordan is investing in esports. Jordan is now an investor with the major esports ownership group aXiomatic. The board includes Washington Capitals and Washington Wizards owner Ted Leonsis. Peter Guber, co-owner of the Golden State Warriors and Los Angeles Dodgers, is also on the board
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.010 | 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 it